Advances in Computer Graphics [[electronic resource] ] : 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28–September 1, 2023, Proceedings, Part II / / edited by Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann
| Advances in Computer Graphics [[electronic resource] ] : 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28–September 1, 2023, Proceedings, Part II / / edited by Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XII, 513 p. 269 illus., 257 illus. in color.) |
| Disciplina | 005.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer systems Computer networks Data structures (Computer science) Information theory Coding theory Computer science Computer and Information Systems Applications Computer System Implementation Computer Communication Networks Data Structures and Information Theory Coding and Information Theory Theory of Computation |
| ISBN | 3-031-50072-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Detection and Recognition -- Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception -- Reconstruction; Rendering and Animation -- Synthesis and Generation -- Visual Analytics and Modeling; Graphics and AR/VR -- Medical Imaging and Robotics -- Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology -- Empowering Novel Geometric Algebra for Graphics and Engineering. |
| Record Nr. | UNISA-996587866203316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Computer Graphics [[electronic resource] ] : 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 – September 1, 2023, Proceedings, Part IV / / edited by Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann
| Advances in Computer Graphics [[electronic resource] ] : 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 – September 1, 2023, Proceedings, Part IV / / edited by Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XII, 404 p. 122 illus., 100 illus. in color.) |
| Disciplina | 005.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer systems Computer networks Data structures (Computer science) Information theory Coding theory Computer science Computer and Information Systems Applications Computer System Implementation Computer Communication Networks Data Structures and Information Theory Coding and Information Theory Theory of Computation |
| ISBN | 3-031-50078-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Detection and Recognition -- Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception -- Reconstruction; Rendering and Animation -- Synthesis and Generation -- Visual Analytics and Modeling; Graphics and AR/VR -- Medical Imaging and Robotics -- Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology -- Empowering Novel Geometric Algebra for Graphics and Engineering. |
| Record Nr. | UNISA-996587866403316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Computer Graphics : 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28–September 1, 2023, Proceedings, Part II / / edited by Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann
| Advances in Computer Graphics : 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28–September 1, 2023, Proceedings, Part II / / edited by Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XII, 513 p. 269 illus., 257 illus. in color.) |
| Disciplina | 005.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer systems Computer networks Data structures (Computer science) Information theory Coding theory Computer science Computer and Information Systems Applications Computer System Implementation Computer Communication Networks Data Structures and Information Theory Coding and Information Theory Theory of Computation Programari d'aplicació Sistemes informàtics Xarxes d'ordinadors Estructures de dades (Informàtica) Teoria de la informació Teoria de la codificació |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031500725
3031500725 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Detection and Recognition -- Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception -- Reconstruction; Rendering and Animation -- Synthesis and Generation -- Visual Analytics and Modeling; Graphics and AR/VR -- Medical Imaging and Robotics -- Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology -- Empowering Novel Geometric Algebra for Graphics and Engineering. |
| Record Nr. | UNINA-9910799215003321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Computer Graphics : 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 – September 1, 2023, Proceedings, Part IV / / edited by Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann
| Advances in Computer Graphics : 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 – September 1, 2023, Proceedings, Part IV / / edited by Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XII, 404 p. 122 illus., 100 illus. in color.) |
| Disciplina | 005.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer systems Computer networks Data structures (Computer science) Information theory Coding theory Computer science Computer and Information Systems Applications Computer System Implementation Computer Communication Networks Data Structures and Information Theory Coding and Information Theory Theory of Computation Programari d'aplicació Sistemes informàtics Xarxes d'ordinadors Estructures de dades (Informàtica) Teoria de la informació Teoria de la codificació |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031500787
3031500784 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Detection and Recognition -- Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception -- Reconstruction; Rendering and Animation -- Synthesis and Generation -- Visual Analytics and Modeling; Graphics and AR/VR -- Medical Imaging and Robotics -- Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology -- Empowering Novel Geometric Algebra for Graphics and Engineering. |
| Record Nr. | UNINA-9910799221903321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in computer graphics : 39th computer graphics international conference, CGI 2022, virtual event, September 12-16, 2022, proceedings / / Nadia Magnenat-Thalmann [and six others], editors
| Advances in computer graphics : 39th computer graphics international conference, CGI 2022, virtual event, September 12-16, 2022, proceedings / / Nadia Magnenat-Thalmann [and six others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (590 pages) |
| Disciplina | 006.6869 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Computer graphics |
| ISBN | 3-031-23473-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Image Analysis and Processing -- Multi-granularity Feature Attention Fusion Network for Image-Text Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Text Sentiment Analysis -- 2.2 Image Sentiment Analysis -- 2.3 Multimodal Sentiment Analysis -- 3 Our Proposed Model -- 3.1 Model Overview -- 3.2 Feature Learning Layer -- 3.3 Interactive Information Fusion Layer -- 3.4 Interactive Information Fusion Layer -- 4 Experimental Results -- 4.1 Dataset Description -- 4.2 Baselines -- 4.3 Experimental Results and Analysis -- 5 Conclusions -- References -- Toward Efficient Image Denoising: A Lightweight Network with Retargeting Supervision Driven Knowledge Distillation*-12pt -- 1 Introduction -- 2 Proposed Method -- 2.1 Lightweight U-shaped Denoising Network: LUNet -- 2.2 Retargeting Supervision Driven Knowledge Distillation -- 3 Experimental Results -- 3.1 Experimental Settings -- 3.2 Quantitative and Qualitative Results -- 3.3 Ablation Studies -- 4 Conclusions -- References -- A Pig Pose Estimation Model for Measuring Pig's Body Size -- 1 Introduction -- 2 Related Work -- 2.1 Measuring Animal Body Size -- 2.2 Key Point Identification -- 2.3 Attention Mechanism -- 3 Our Approach -- 3.1 Our Network Header -- 3.2 Down-Sampling Module -- 3.3 Selection of Key Points -- 4 Experiments -- 4.1 Dataset -- 4.2 Results on Image and Video -- 4.3 Results on Combining Attention Mechanism -- 4.4 Results on Using Our Network Header -- 5 Conclusion -- References -- Topology-Aware Learning for Semi-supervised Cross-domain Retinal Artery/Vein Classification*-12pt -- 1 Introduction -- 2 Method -- 2.1 Overview -- 2.2 Spatial Transformation Module -- 2.3 Regional Mixing Module -- 2.4 Loss Function -- 3 Experimental Results -- 3.1 Datasets -- 3.2 Implementation Details -- 3.3 Artery/Vein Classification Performance.
4 Conclusion -- References -- Face Super-Resolution with Better Semantics and More Efficient Guidance -- 1 Introduction -- 2 Method -- 2.1 Overview of the Proposed Framework -- 2.2 Better Semantic Prior -- 2.3 More Efficient Guidance -- 2.4 Loss Functions -- 3 Experiments -- 3.1 Implementation Details -- 3.2 Comparisons with the State-of-the-Arts -- 3.3 Ablation Study -- 4 Conclusion -- References -- Graphs and Networks -- Layout and Display of Network Graphs on a Sphere*-12pt -- 1 Introduction -- 2 Related Work -- 3 Visualization Pipeline -- 4 Graph Visualization Algorithms -- 4.1 Layout - Adaptation of Fruchterman-Reingold Algorithm -- 4.2 Quantitative Evaluation -- 4.3 Visualizing Spheres in Paraview -- 4.4 Mathematical Basis for Visualizing Arcs in Paraview -- 5 Browser-Based Visualization -- 6 Conclusion -- References -- Joint Matrix Factorization and Structure Preserving for Domain Adaptation*-12pt -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Notations -- 3.2 Problem Formulation -- 3.3 Optimization -- 4 Experiments -- 4.1 Datasets Description -- 4.2 Results -- 4.3 Parameter Sensitivity and Ablation Study -- 5 Conclusion -- References -- Graph Adversarial Network with Bottleneck Adapter Tuning for Sign Language Production*-12pt -- 1 Introduction -- 2 Related Work -- 2.1 Sign Language Production -- 2.2 Transfer Learning -- 2.3 Graph Convolutional Network -- 3 Method -- 3.1 Adapter-Based Contextual Representation -- 3.2 Channel-Wise Target Length Predictor -- 3.3 Cross-modal Sign Pose Generator -- 3.4 Spatial-Temporal Graph Convolutional Discriminator -- 3.5 Loss Function -- 4 Experiments -- 4.1 Datasets -- 4.2 Training Settings -- 4.3 Evaluation Metrics -- 4.4 Quantitative Evaluation -- 4.5 Visual Comparison -- 4.6 Ablation Study -- 5 Conclusion -- References -- Estimation and Feature Matching. Facial Landmarks Based Region-Level Data Augmentation for Gaze Estimation*-12pt -- 1 Introduction -- 2 Related Works -- 2.1 Gaze Estimation -- 2.2 Data Augmentation -- 3 Proposed Method -- 3.1 Facial Landmarks Based Region Mask -- 3.2 Non-eye Regions Data Augmentation -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Performance Comparison -- 4.3 Ablation Studies -- 5 Conclusions -- References -- An Efficient Dense Depth Map Estimation Algorithm Using Direct Stereo Matching for Ultra-Wide-Angle Images*-12pt -- 1 Introduction -- 2 Patch Matching Stereo -- 2.1 Camera Projection Model -- 2.2 Patch Matching Stereo for Ultra-Wide-Angle Images -- 3 Experimental Results -- 3.1 The TUM VI Benchmark -- 3.2 Comparisons -- 3.3 The Oxford RobotCar Dataset -- 4 Conclusion -- References -- Ad-RMS: Adaptive Regional Motion Statistics for Feature Matching Filtering -- 1 Introduction -- 2 Related Works -- 3 Method -- 3.1 Adaptive Regional Division -- 3.2 Regional Motion Statistics -- 4 Experiment -- 4.1 Evaluation -- 4.2 Dataset and Input Data -- 4.3 Parameters -- 4.4 Comparative Analysis of Results -- 5 Summary -- References -- 3D Reconstruction -- Visual Indoor Navigation Using Mobile Augmented Reality -- 1 Introduction -- 2 Related Work -- 2.1 Indoor Navigation System -- 2.2 Positioning and Navigation Technology -- 3 Research Content and Methodology -- 3.1 Plane and Point Cloud Detection and Visualization -- 3.2 Indoor Map Construction -- 3.3 Map Download and Self-positioning -- 3.4 Path Planning and Display -- 4 Experiment -- 5 Analysis of Results -- References -- Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view Stereo -- 1 Introduction -- 2 Related Work -- 2.1 Coarse-to-Fine MVS Methods -- 2.2 Depth Sampling Range -- 2.3 Cost Volume -- 3 Methods -- 3.1 Overview -- 3.2 Depth Sampling Range Estimation -- 3.3 Supervise on Cost Volume. 3.4 Loss Function -- 4 Experiment -- 4.1 Dataset -- 4.2 Implementation Details -- 4.3 Results on DTU Dataset -- 4.4 Results on BlendedMVS -- 4.5 Effectiveness of Multi-strategies -- 4.6 Ablation Study -- 5 Conclusion -- References -- Reconstructing the Surface Mesh Representation for Single Neuron -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Branch Identification -- 3.2 Surface Reconstruction of Neurites -- 3.3 Surface Reconstruction of the Soma -- 4 Experiments and Results -- 5 Conclusion -- References -- WEmap: Weakness-Enhancement Mapping for 3D Reconstruction with Sparse Image Sequences -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Initial Reconstruction -- 3.2 Generation of the Enhanced Set -- 3.3 Reconstruction with Weighted Samples -- 4 Experiments -- 4.1 Datasets -- 4.2 Experiments on the Sparse DTU Dataset -- 4.3 Experiments on the Sparse Tanks and Temples Dataset -- 5 Conclusion -- References -- Rendering and Animation -- Comparing Traditional Rendering Techniques to Deep Learning Based Super-Resolution in Fire and Smoke Animations -- 1 Introduction -- 2 Related Work -- 3 TecoGAN -- 3.1 Network Architecture for Video Super-Resolution -- 3.2 Usage -- 4 Dataset Generation -- 4.1 Creating a Smoke Simulation -- 4.2 Multiple Simulations -- 5 Evaluation -- 5.1 Creating Different Renders -- 5.2 Comparing Video Quality -- 5.3 Cross Simulation Comparison -- 6 Conclusion -- References -- Real-Time Light Field Path Tracing -- 1 Introduction -- 2 Related Work -- 3 General Pipeline and Our Implementation -- 3.1 General Pipeline -- 3.2 Our Implementation -- 4 Experiments -- 5 Results -- 5.1 Runtime -- 5.2 Quality -- 6 Conclusions -- References -- Crowd Simulation with Detailed Body Motion and Interaction -- 1 Introduction -- 2 Related Work -- 2.1 Crowd Simulation -- 2.2 Motion Matching -- 3 Overview -- 4 Hierarchical Control. 5 Agent Model -- 5.1 Visual System -- 5.2 Blackboard System -- 5.3 Decision System -- 5.4 Animation System -- 6 Co-simulation System -- 6.1 Mode Switch -- 6.2 Inverse Kinematic -- 7 Results -- 7.1 Behaviour Simulation -- 7.2 Animation Simulation -- 7.3 User Study -- 8 Conclusion and Future Work -- References -- Towards Rendering the Style of 20th Century Cartoon Line Art in 3D Real-Time -- 1 Introduction -- 2 Related Works -- 2.1 Contour Extraction -- 2.2 Line Stylisation -- 2.3 Offline Rendering -- 3 Approaches -- 3.1 Edge Marking -- 3.2 Geometry Shader Line Rendering -- 3.3 Line Weight Map -- 3.4 Editing the Line Thickness in Real-Time -- 3.5 Recording Line Thickness in Real-Time Animation -- 4 Results -- 5 Conclusion and Future Works -- References -- Detection and Recognition -- Face Detection Algorithm in Classroom Scene Based on Deep Learning -- 1 Introduction -- 2 Related Works -- 2.1 Overview of Target Detection -- 2.2 Optical Flow Method -- 3 Proposed Method -- 3.1 Model Overview -- 3.2 Network Design -- 3.3 Improved Seq NMS -- 3.4 Face Count -- 4 Experience -- 4.1 Dataset -- 4.2 Pretreatment -- 4.3 Parameter Setting -- 4.4 Result -- 5 Conclusion -- References -- GRVT: Toward Effective Grocery Recognition via Vision Transformer -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Vision Transformer -- 3.2 GRVT Architecture -- 3.3 Multi-scale Patch Embedding -- 3.4 Mixed Attention Selection -- 4 Experiments -- 4.1 Datasets and Implementation Details -- 4.2 Comparison with the State of the Art -- 4.3 Ablation Study -- 4.4 Visualization -- 5 Conclusion -- References -- A Transformer-Based Cloth-Irrelevant Patches Feature Extracting Method for Long-Term Cloth-Changing Person Re-identification -- 1 Introduction -- 2 Related Work -- 2.1 Cloth-Changing Person Re-identification -- 2.2 Vision Transformer -- 2.3 Human Parsing -- 3 Methodology. 3.1 Transformer Encoder. |
| Record Nr. | UNISA-996503467003316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Computer Graphics : 39th Computer Graphics International Conference, CGI 2022, Virtual Event, September 12–16, 2022, Proceedings / / edited by Nadia Magnenat-Thalmann, Jian Zhang, Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann, Marina Gavrilova
| Advances in Computer Graphics : 39th Computer Graphics International Conference, CGI 2022, Virtual Event, September 12–16, 2022, Proceedings / / edited by Nadia Magnenat-Thalmann, Jian Zhang, Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann, Marina Gavrilova |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (590 pages) |
| Disciplina |
006.6869
006.6 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer and Information Systems Applications |
| ISBN |
9783031234736
3031234731 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | IMAGE ANALYSIS & PROCESSING -- Multi-granularity feature attention Fusion network for Image-Text Sentiment Analysis -- Toward efficient image denoising: A lightweight network with retargeting supervision driven knowledge distillation -- A pig pose estimation model for measuring pig’s body size -- Topology-aware Learning for Semi-supervised Cross-domain Retinal Artery/Vein Classification -- Face Super-Resolution with Better Semantics and More Efficient Guidance -- GRAPHS & NETWORKS -- Layout and Display of Network Graphs on a Sphere -- Joint Matrix Factorization and Structure Preserving for Domain Adaptation -- Graph Adversarial Network with Bottleneck Adapter Tuning for Sign Language Production -- ESTIMATION & FEATURE MATCHING -- Facial Landmarks based Region-Level Data Augmentation for Gaze Estimation -- An Efficient Dense Depth Map Estimation Algorithm Using Direct Stereo Matching For Ultra-wide-angle Images -- Ad-RMS: Adaptive Regional Motion Statistics for Feature Matching Filtering -- 3D RECONSTRUCTION -- Mobile Augmented Realty Based Visual Indoor Navigation -- Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view Stereo -- Reconstructing the Surface Mesh Representation for Single Neuron -- WEmap: Weakness-enhancement mapping for 3D reconstruction with sparse image sequences -- RENDERING & ANIMATION -- Comparing Traditional Rendering Techniques to Deep Learning based Super-Resolution in Fire and Smoke Animations -- Real-Time Light Field Path Tracing -- Crowd Simulation with Detailed Body Motion and Interaction -- Towards Rendering the Style of 20th Century Cartoon Line Art in 3D Real-time -- DETECTION & RECOGNITION -- Face detection algorithm in classroom scene based on deep learning -- GRVT: Toward Effective Grocery Recognition via Vision Transformer -- A Transformer-based Cloth-irrelevant Patches Feature Extracting Method for Long-Term Cloth-Changing Person Re-identification -- Learning Unified Binary Feature Codes For Cross-illumination Palmprint Recognition -- COLORS, PAINTINGS & LAYOUT -- SemiPainter: Learning to draw semi-realistic paintings from the manga line drawings and flat shadow -- Hierarchical Bayesian Network Modeling and Layout of Huizhou Traditional Villages in Geographic Environment -- AE-GAN: Attention Embedded GAN For Irregular and Large-area Mask Face Image Inpainting -- SYNTHESIS & GENERATION -- Procedural Generation of Landscapes with Water Bodies Using Artificial Drainage Basins -- High-fidelity Dynamic Human Synthesis via UV-guided NeRF with Sparse Views -- Rec2Real: Semantics-Guided Photo-Realistic Image Synthesis Using Rough Urban Reconstruction Models -- 3D Digital City Structure Model Based on Image Modeling Technology -- AR & USER INTERFACES -- Augmented Reality-Based Home Interaction Layout and Evaluation -- LiteAR: A Framework to Estimate Lighting for Mixed Reality Sessions for Enhanced Realism -- Personalized User Interface Elements Recommendation System -- MEDICAL IMAGING -- A feature point extraction method for capsule endoscope localization -- Automated Diagnosis Of Retinal Neovascularization Pathologies From Color Retinal Fundus Images -- SEGMENTATION -- DDCNet: A lightweight network with variable receptive field for real-time portrait segmentation in complex environment -- A chromosome segmentation method based on corner detection and watershed algorithm -- Voxel-based 3D shape segmentation using deep volumetric convolutional neural networks -- OBJECT DETECTION -- Few-shot detection based on an enhanced prototype for outdoor small forbidden objects -- Research on real-time forestry pest detection based on improved YOLOv5 -- Power Line Detection Based on Feature Fusion Deep Learning Network -- IMAGE ATTENTION & PERCEPTION -- Wider and Higher: Intensive Integration and Global Foreground Perception for Image Matting -- Authenticity Identification of Qi Baishi’s Shrimp Painting with Dynamic Token Enhanced Visual Transformer -- MODELING & SIMULATION -- An Optimized Material Point Method for Soil-Water Coupled Simulation -- SlimFliud-Net: Fast Fluid Simulation Using Admm Pruning. . |
| Record Nr. | UNINA-9910639891803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in computer graphics : 38th Computer Graphics International Conference, CGI 2021, virtual event, September 6-10, 2021, proceedings / / edited by Nadia Magnenat-Thalmann [and six others]
| Advances in computer graphics : 38th Computer Graphics International Conference, CGI 2021, virtual event, September 6-10, 2021, proceedings / / edited by Nadia Magnenat-Thalmann [and six others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (717 pages) |
| Disciplina | 006.6 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Computer graphics |
| ISBN | 3-030-89029-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Computer Animation -- Temporal Parameter-Free Deep Skinning of Animated Meshes -- 1 Introduction -- 2 Related Work -- 3 Temporal Deep Skinning -- 3.1 Training and Test Datasets -- 3.2 Transformation and Weight Optimization -- 3.3 Measuring the Error -- 3.4 Building and Tuning a Neural Network for Weight Prediction -- 4 Experimental Evaluation of Deep Skinning -- 4.1 Quantitative Results -- 4.2 Visual Quality Evaluation Results -- 4.3 Discussion and Applications -- 5 Conclusions -- A Appendix A -- B Appendix B -- C Appendix C -- References -- The Impact of Animations in the Perception of a Simulated Crowd -- 1 Introduction -- 2 Related Work -- 2.1 Appearance and Motion of Virtual Humans -- 2.2 Crowd Simulation -- 3 Experiment Design -- 3.1 Stimuli Creation -- 3.2 Participants -- 3.3 Hypothesis -- 3.4 Statistical Analysis -- 4 Results -- 4.1 Realism of Simulated Crowds (H1) -- 4.2 Realism of Trajectories (H2) -- 4.3 Realism of Animation (H3) -- 5 Discussion -- 6 Conclusions and Future Work -- References -- Computer Vision -- Virtual Haptic System for Shape Recognition Based on Local Curvatures -- 1 Introduction -- 2 Related Work -- 3 Data Capture -- 3.1 Stimuli -- 3.2 Data Collection -- 4 Classifiers -- 4.1 Probability Density Function Based -- 4.2 Bayesian XGBoost -- 5 Results -- 5.1 Probability Density Function Based -- 5.2 Bayesian XGBoost -- 6 Discussion -- 7 Conclusions and Future Work -- References -- Stable Depth Estimation Within Consecutive Video Frames -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Temporal Stability Loss -- 3.2 Inconsistency Check and Self-discovered Mask -- 3.3 De-scaled Geometry Consistency Loss -- 3.4 Network Architecture -- 4 Experiments -- 4.1 Training Details -- 4.2 Comparisons and Ablation Study -- 5 Conclusions and Future Work -- References.
Progressive Multi-scale Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Gate Fusion Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Overview -- 3.2 Color Information Extraction Branch -- 3.3 Depth Map Super-Resolution Branch -- 3.4 Loss Function -- 4 Experimental Results -- 4.1 Implementation Details -- 4.2 Quantitative Evaluation -- 4.3 Qualitative Evaluation -- 5 Conclusion -- References -- SE_EDNet: A Robust Manipulated Faces Detection Algorithm -- 1 Introduction -- 2 Detection Algorithms -- 2.1 Framework -- 2.2 Network Structure -- 2.3 Image Residuals in YCrCb Color Space -- 3 Experiment Analysis -- 3.1 Setup -- 3.2 Comparison Experiment -- 3.3 Robustness Performance Analysis -- 4 Conclusion -- References -- PointCNN-Based Individual Tree Detection Using LiDAR Point Clouds -- 1 Introduction -- 2 Method -- 2.1 Overview -- 2.2 Build CHM -- 2.3 Generate Detection Sample -- 2.4 Sample Classifier -- 2.5 Tree Stagger Analysis -- 3 Results -- 3.1 Detection Result -- 3.2 Comparison with Related Research -- 4 Conclusion -- References -- Variance Weight Distribution Network Based Noise Sample Learning for Robust Person Re-identification -- 1 Introduction -- 2 Related Work -- 2.1 Deep Person Re-ID Models -- 2.2 Person Re-ID with Sample Noise -- 2.3 Robust Deep Learning with Label Noise -- 2.4 Feature Distribution Modelling -- 3 Methodology -- 3.1 Conventional Baseline Model -- 3.2 Feature Uncertainty Distribution Learning -- 3.3 Rectifying Label Learning -- 3.4 Overall Classification Loss -- 4 Experiments -- 4.1 Datasets and Settings -- 4.2 Implementation Details -- 4.3 Comparison with the State-of-the-Arts -- 5 Conclusion -- References -- Monocular Dense SLAM with Consistent Deep Depth Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Monocular Visual SLAM -- 2.2 Dense Mapping. 2.3 SLAM with Deep Depth Prediction -- 3 System Overview -- 4 Local Mapping with Depth Refinement -- 4.1 2D Image Analysis -- 4.2 3D Outlier Detection -- 5 Global Dense Mapping with Egomotion Constraints -- 6 Evaluation -- 6.1 Qualitative Results -- 6.2 Quantitative Results -- 7 Conclusion -- References -- 3D Shape-Adapted Garment Generation with Sketches -- 1 Introduction -- 2 Related Work -- 3 The Proposed Method -- 3.1 Overview of the Network Architecture -- 3.2 Sketch Encoder and Body Shape Encoder -- 3.3 Fully Convolutional Mesh Decoder -- 3.4 Loss Function -- 4 Experiments -- 4.1 Dataset Construction -- 4.2 Results -- 5 Conclusion -- References -- Geometric Computing -- Light-Weight Multi-view Topology Consistent Facial Geometry and Reflectance Capture -- 1 Introduction -- 2 Related Work -- 2.1 High-Quality Facial Geometry -- 2.2 Facial Appearance Capture -- 3 System Overview -- 4 Proposed Method -- 4.1 Landmarks Based Initialization -- 4.2 Mesh Deformation -- 4.3 Multi-view Based Diffuse-Specular Separation -- 4.4 Surface Normal and BRDF Estimation -- 4.5 Finer Geometry Optimization -- 5 Results -- 6 Conclusion -- References -- Real-Time Fluid Simulation with Atmospheric Pressure Using Weak Air Particles -- 1 Introduction -- 2 Related Work -- 2.1 Particle-Based Fluid Simulation -- 2.2 Fluid Simulation with Atmospheric Pressure -- 3 Background -- 4 Weak Air Particles -- 5 Surface Force Model -- 5.1 Density-Related Atmospheric Pressure Force -- 5.2 Surface Tension Force -- 6 Implementation -- 7 Results -- 8 Conclusion and Future Work -- References -- Human Poses and Gestures -- Reinforcement Learning for Quadruped Locomotion -- 1 Introduction -- 1.1 Objectives -- 1.2 Analytic Reviews on Previous Work -- 2 Methodology -- 2.1 Modelling Quadruped Locomotion -- 2.2 Reinforcement Learning -- 3 Experiment and Comparative Evaluation. 4 Discussion and Conclusion -- References -- Partially Occluded Skeleton Action Recognition Based on Multi-stream Fusion Graph Convolutional Networks -- 1 Introduction -- 2 Related Work -- 2.1 Manual Feature Extraction Method -- 2.2 RNN/CNN-Based Method -- 2.3 GCN-Based Method -- 3 Proposed Method -- 3.1 Multimodal Feature Extraction -- 3.2 Spatial-Temporal Graph Convolutional Network -- 3.3 Occlusion Sensitive Multi-stream Fusion Networks -- 4 Experiments -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Experimental Results -- 5 Conclusion -- References -- Social-Scene-Aware Generative Adversarial Networks for Pedestrian Trajectory Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Crowd Interaction -- 2.2 Multimodal Trajectory Prediction -- 3 Method -- 3.1 The Formulation for Pedestrian Trajectory Prediction -- 3.2 Scene Module -- 3.3 Social Module -- 3.4 Generative Adversarial Networks Module -- 4 Experiments -- 4.1 Evaluation Metrics and Baselines -- 4.2 Quantitative Evaluations -- 4.3 Qualitative Evaluations -- 5 Conclusion -- References -- Image Processing -- Cecid Fly Defect Detection in Mangoes Using Object Detection Frameworks -- 1 Introduction -- 2 Towards Automatic Defect Detection in Agricultural Produce -- 3 Methodology -- 3.1 Image Acquisition -- 3.2 Data Preparation -- 3.3 Object Detection Frameworks -- 4 Experimental Results -- 5 Conclusion and Future Works -- References -- Twin-Channel Gan: Repair Shape with Twin-Channel Generative Adversarial Network and Structural Constraints*-6pt -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Geometry Information Completion -- 3.2 Structure Information Optimization -- 3.3 Fine-Tune -- 4 Experiments and Evaluation -- 4.1 Implementation Details -- 4.2 Shape Repair -- 4.3 Results and Discussion -- 5 Limitation and Future Work -- 6 Conclusion -- References. CoPaint: Guiding Sketch Painting with Consistent Color and Coherent Generative Adversarial Networks -- 1 Introduction -- 2 Related Work -- 2.1 Generative Adversarial Networks (GANs) -- 2.2 Colorization -- 3 Methods -- 3.1 Overview -- 3.2 Dataset -- 3.3 Network Structure -- 3.4 Loss Function -- 4 Experiments -- 4.1 Training Strategy -- 4.2 Dataset Generation -- 4.3 Analysis on Angles -- 5 Evaluation -- 5.1 Quality Analysis -- 5.2 Color Consistency Analysis -- 5.3 Ablation Studies -- 6 Conclusions and Limitations -- References -- Multi-Stream Fusion Network for Multi-Distortion Image Super-Resolution -- 1 Introduction -- 2 Method -- 2.1 Multi-Stream Fusion -- 2.2 Fusion Module -- 2.3 Deep Supervision -- 3 Experimental Results -- 3.1 Data Preprocessing and Network Training -- 3.2 Model Analysis -- 3.3 Results Analysis -- 4 Conclusion -- References -- Generative Face Parsing Map Guided 3D Face Reconstruction Under Occluded Scenes -- 1 Introduction -- 2 Related Works -- 2.1 Generic Face Reconstruction -- 2.2 Face Image Synthesis -- 3 Our Approach -- 3.1 Landmark Prediction Task -- 3.2 Face Parsing Map Generation -- 3.3 Face Image Synthesis with GAN -- 3.4 Camera and Illumination Model -- 3.5 Loss Function of 3D Reconstruction -- 4 Implementation Details -- 5 Experimental Results -- 5.1 Qualitative Comparisons with Recent Works -- 5.2 Quantitative Comparison -- 6 Conclusions -- References -- Compact Double Attention Module Embedded CNN for Palmprint Recognition -- 1 Introduction -- 2 Related Work -- 2.1 CNN-Based Palmprint Recognition Methods -- 2.2 Attention Mechanism -- 3 The Proposed Method -- 3.1 The Framework of CDAM-Net -- 3.2 Double Attention Module (DAM) -- 4 Experiments -- 4.1 Databases -- 4.2 Palmprint Identification Results -- 4.3 Effectiveness of the DAM -- 4.4 Parameter Analysis -- 5 Conclusion -- References. M2M: Learning to Enhance Low-Light Image from Model to Mobile FPGA. |
| Record Nr. | UNISA-996464484503316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Computer Graphics : 38th Computer Graphics International Conference, CGI 2021, Virtual Event, September 6–10, 2021, Proceedings / / edited by Nadia Magnenat-Thalmann, Victoria Interrante, Daniel Thalmann, George Papagiannakis, Bin Sheng, Jinman Kim, Marina Gavrilova
| Advances in Computer Graphics : 38th Computer Graphics International Conference, CGI 2021, Virtual Event, September 6–10, 2021, Proceedings / / edited by Nadia Magnenat-Thalmann, Victoria Interrante, Daniel Thalmann, George Papagiannakis, Bin Sheng, Jinman Kim, Marina Gavrilova |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (717 pages) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Application software
Artificial intelligence Computer vision Computer engineering Computer networks Computer and Information Systems Applications Artificial Intelligence Computer Vision Computer Engineering and Networks |
| ISBN | 3-030-89029-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computer Animation -- Temporal Parameter-free Deep Skinning of Animated Meshes -- The impact of animations in the perception of a simulated crowd -- Computer Vision -- Virtual haptic system for shape recognition based on local curvatures -- Stable Depth Estimation within Consecutive Video Frames -- Progressive Multi-Scale Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Gate Fusion Network -- SE_EDNet: A Robust Manipulated Faces Detection Algorithm -- PointCNN-based Individual Tree Detection Using LiDAR Point Clouds -- Variance weight distribution network based Noise Sample Learning for Robust Person Re-identification -- Monocular Dense SLAM with Consistent Deep Depth Prediction -- Sketch-based 3D Garment Generation with Shape-adapted -- Geometric Computing -- Light-Weight Multi-View Topology Consistent Facial Geometry and Reflectance Capture -- Real-Time Fluid Simulation with Atmospheric Pressure Using Weak Air Particles -- Human Poses and Gestures -- Reinforcement Learning for Quadruped Locomotion -- Partially Occluded Skeleton Action Recognition based on Multi-stream Fusion Graph Convolutional Networks -- Social-Scene-Aware Generative Adversarial Networks for Pedestrian Trajectory Prediction -- Image Processing -- Cecid Fly Defect Detection in Mangoes using Object Detection Frameworks -- Twin-Channel Gan: Repair Shape with Twin -Channel Generative Adversarial Network and Structural Constraints -- CoPaint: Guiding Sketch Painting with Consistent Color and Coherent Generative Adversarial Networks -- Multi-Stream Fusion Network for Multi-Distortion Image Super-Resolution -- Generative Face Parsing Map Guided 3D Face Reconstruction Under Occluded Scenes -- Compact Double Attention Module Embedded CNN for Palmprint Recognition -- M2M: Learning to Enhance Low-light Image from Model to Mobile FPGA -- Character Flow Detection and Rectification for Scene Text Spotting -- A Deep Learning Method for 2D Image Stippling -- Medical Imaging -- In Silico Heart Versatile Graphical Interface with Systole and Diastole Phases Customizable for Diversified Arrhythmias Simulations -- ADD-Net:Attention U-Net with Dilated Skip Connection and Dense Connected Decoder for Retinal Vessel Segmentation -- BDFNet: Boundary-assisted and Discriminative Feature Extraction Network for COVID-19 Lung Infection Segmentation -- A Classification Network for Ocular Diseases Based on Structure Feature and Visual Attention -- Physics-based Simulation -- DSNet: Dynamic skin deformation prediction by Recurrent Neural Network -- Curvature Analysis of Sculpted Hair Meshes for Hair Guides Generation -- Synthesizing Human Faces with Local Weight Autoencoder -- CFMNet: Coarse-to-Fine Cascaded Feature Mapping Network for Hair Attribute Transfer -- Rendering and Textures -- Dynamic Shadow Synthesis Using Silhouette Edge Optimization -- DDISH-GI: Dynamic Distributed Spherical Harmonics Global Illumination -- Simplicity Driven Edge Refinement and Color Reconstruction in Image Vectorization -- Temporal-Consistency-Aware Video Color Transfer -- An improved advancing-front-Delaunay method for triangular mesh generation -- Robotics and Vision -- The use of a social robot in elderly home for recreational activities -- Resilient Navigation among dynamic agents with hierarchical reinforcement learning -- Visual Analytics -- MeshChain: Secure 3D model and intellectual property management powered by blockchain technology -- Image emotion analysis based on the distance relation of emotion categories via deep metric learning -- How much do we perceive geometric features, personalities and emotions in avatars? -- High-Dimensional Dataset Simplification by Laplace-Beltrami Operator -- VR/AR -- Characterizing Visual Acuity in the use of Head Mounted Displays -- Effects of Different Proximity-based Feedback on Virtual Hand Pointing in Virtual Reality -- Virtual Scenes Construction Promotes Traditional Chinese Art Preservation -- A Preliminary Work: Mixed Reality-integrated Computer-aided Surgical Navigation System for Paranasal Sinus Surgery using Microsoft HoloLens 2 -- Engage -- Algorithms for multi-conditioned conic fitting in Geometric algebra for conics -- Special affine Fourier transform for space-time algebra signals -- On Explicit Formulas for Characteristic Polynomial Coefficients in Geometric Algebras -- Unified Expression Framework of Geodetic Stations Based on Conformal Geometric Algebra -- Never 'Drop the Ball' in the Operating Room: An efficient hand-based VR HMD controller interpolation algorithm, for collaborative, networked virtual environments -- The Rules of 4-dimensional Perspective. |
| Record Nr. | UNINA-9910502612303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in computer graphics : 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20-23, 2020, Proceedings / / Nadia Magnenat-Thalmann [and seven others], (editors)
| Advances in computer graphics : 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20-23, 2020, Proceedings / / Nadia Magnenat-Thalmann [and seven others], (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (X, 556 p. 250 illus., 212 illus. in color.) |
| Disciplina | 006.6 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Computer graphics |
| ISBN | 3-030-61864-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | CGI'20 Full Papers -- Comparing Physical and Immersive VR Prototypes for Evaluation of an Industrial System User Interface -- Gaze-contingent Rendering in Virtual Reality -- Hierarchical Rendering System Based on Viewpoint Prediction in Virtual Reality -- Reinforcement Learning-Based Redirection Controller for Efficient Redirected Walking in Virtual Maze Environment -- Locality-Aware Skinning Decomposition Using Model-Dependent Mesh Clustering -- A New Volume-based Convexity Measure for 3D Shapes -- Deep Inverse Rendering for Practical Object Appearance Scan with Uncalibrated Illumination -- Application of the transfer matrix method to anti-reflective coating rendering -- Dynamic Shadow Rendering with Shadow Volume Optimization -- Adaptive Illumination Sampling for Direct Volume Rendering -- Musical Brush: Exploring Creativity through an AR-based Tool for Sketching Music and Drawings -- MR environments constructed for a large indoor physical space -- FIOU Tracker: An improved algorithm of IOU Tracker in video with a lot of background inferences -- An Approach of Short Advertising Video Generation Using Mobile Phone Assisted by Robotic Arm -- Forget the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks -- An Improved Image stitching Method Based on Seed Region Growth and Poisson Fusion -- Illumination Harmonization with Gray Mean Scale -- An Unsupervised Approach for 3D Face Reconstruction from A Single Depth Image -- Fusing IMU Data into SfM for Image-based 3D Reconstruction -- Physics-Guided Sound Synthesis for Rotating Blades -- Elimination of Incorrect Depth Points for Depth Completion -- Pose Transfer of 2D Human Cartoon Characters -- Broad-classifier for Remote Sensing Scene Classification with Spatial and Channel-wise Attention -- GARNet: Graph Attention Residual Networks Based on Adversarial Learning for 3D Human Pose Estimation -- GPU-based Grass Simulation with Accurate Blade Reconstruction -- Flow Visualization with Density Control -- DbNet: Double-ball Model for Processing Point Clouds -- Evolving L-systems in a competitive environment -- ParaGlyder: Probe-driven Interactive Visual Analysis for Multiparametric Medical Imaging Data -- 3D Geology Scene Exploring Base on Hand-Track Somatic Interaction -- GHand: A Graph Convolution Network for 3D Hand Pose Estimation -- Bézier Curve as a Generalization of the Easing Function in Computer Animation -- Generating Orthogonal Voronoi Treemap for Visualization of Hierarchical Data -- CGI'20 Short Papers -- Preserving Temporal Consistency in Videos Through Adaptive SLIC -- Efficient non-fused Winograd on GPUs -- ENGAGE Full Papers -- Surface Fitting Using Dual Quaternion Control Points with Applications in Human Respiratory Modelling -- Deform, Cut and Tear a skinned model using Conformal Geometric Algebra -- The Forward and Inverse Kinematics of a Delta Robot -- Constrained Dynamics in Conformal and Projective Geometric Algebra -- Application of 2D PGA as an subalgebra of CRA in robotics -- Outline of tube elbow detection based on GAC -- Optimal Parenthesizing of Geometric Algebra Products -- Geometric algebra-based multilevel declassification method for geographical field data -- Homomorphic Data Concealment Powered by Clifford Geometric Algebra -- An Online Calculator for Qubits based on Geometric Algebra -- ENGAGE Short Papers -- On basis-free solution to Sylvester equation in geometric algebra -- Hyperwedge. |
| Altri titoli varianti | CGI 2020 |
| Record Nr. | UNISA-996418293803316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Computer Graphics : 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20–23, 2020, Proceedings / / edited by Nadia Magnenat-Thalmann, Constantine Stephanidis, Enhua Wu, Daniel Thalmann, Bin Sheng, Jinman Kim, George Papagiannakis, Marina Gavrilova
| Advances in Computer Graphics : 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20–23, 2020, Proceedings / / edited by Nadia Magnenat-Thalmann, Constantine Stephanidis, Enhua Wu, Daniel Thalmann, Bin Sheng, Jinman Kim, George Papagiannakis, Marina Gavrilova |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (X, 556 p. 250 illus., 212 illus. in color.) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Application software
Artificial intelligence Computer vision Computer engineering Computer networks User interfaces (Computer systems) Human-computer interaction Pattern recognition systems Computer and Information Systems Applications Artificial Intelligence Computer Vision Computer Engineering and Networks User Interfaces and Human Computer Interaction Automated Pattern Recognition |
| ISBN | 3-030-61864-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | CGI'20 Full Papers -- Comparing Physical and Immersive VR Prototypes for Evaluation of an Industrial System User Interface -- Gaze-contingent Rendering in Virtual Reality -- Hierarchical Rendering System Based on Viewpoint Prediction in Virtual Reality -- Reinforcement Learning-Based Redirection Controller for Efficient Redirected Walking in Virtual Maze Environment -- Locality-Aware Skinning Decomposition Using Model-Dependent Mesh Clustering -- A New Volume-based Convexity Measure for 3D Shapes -- Deep Inverse Rendering for Practical Object Appearance Scan with Uncalibrated Illumination -- Application of the transfer matrix method to anti-reflective coating rendering -- Dynamic Shadow Rendering with Shadow Volume Optimization -- Adaptive Illumination Sampling for Direct Volume Rendering -- Musical Brush: Exploring Creativity through an AR-based Tool for Sketching Music and Drawings -- MR environments constructed for a large indoor physical space -- FIOU Tracker: An improved algorithm ofIOU Tracker in video with a lot of background inferences -- An Approach of Short Advertising Video Generation Using Mobile Phone Assisted by Robotic Arm -- Forget the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks -- An Improved Image stitching Method Based on Seed Region Growth and Poisson Fusion -- Illumination Harmonization with Gray Mean Scale -- An Unsupervised Approach for 3D Face Reconstruction from A Single Depth Image -- Fusing IMU Data into SfM for Image-based 3D Reconstruction -- Physics-Guided Sound Synthesis for Rotating Blades -- Elimination of Incorrect Depth Points for Depth Completion -- Pose Transfer of 2D Human Cartoon Characters -- Broad-classifier for Remote Sensing Scene Classification with Spatial and Channel-wise Attention -- GARNet: Graph Attention Residual Networks Based on Adversarial Learning for 3D Human Pose Estimation -- GPU-based Grass Simulation with Accurate Blade Reconstruction -- Flow Visualization with Density Control -- DbNet: Double-ball Model for Processing Point Clouds -- Evolving L-systems in a competitive environment -- ParaGlyder: Probe-driven Interactive Visual Analysis for Multiparametric Medical Imaging Data -- 3D Geology Scene Exploring Base on Hand-Track Somatic Interaction -- GHand: A Graph Convolution Network for 3D Hand Pose Estimation -- Bézier Curve as a Generalization of the Easing Function in Computer Animation -- Generating Orthogonal Voronoi Treemap for Visualization of Hierarchical Data -- CGI'20 Short Papers -- Preserving Temporal Consistency in Videos Through Adaptive SLIC -- Efficient non-fused Winograd on GPUs -- ENGAGE Full Papers -- Surface Fitting Using Dual Quaternion Control Points with Applications in Human Respiratory Modelling -- Deform, Cut and Tear a skinned model using Conformal Geometric Algebra -- The Forward and Inverse Kinematics of a Delta Robot -- Constrained Dynamics in Conformal and Projective Geometric Algebra -- Application of 2D PGA as an subalgebra of CRA in robotics -- Outline of tube elbow detection based on GAC -- Optimal Parenthesizing of Geometric Algebra Products -- Geometric algebra-based multilevel declassification method for geographical field data -- Homomorphic Data Concealment Powered by Clifford Geometric Algebra -- An Online Calculator for Qubits based on Geometric Algebra -- ENGAGE Short Papers -- On basis-free solution to Sylvester equation in geometric algebra -- Hyperwedge. |
| Record Nr. | UNINA-9910427681403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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