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Image and graphics : 11th International Conference, ICIG 2021, Haikou, China, August 6-8, 2021, Proceedings, Part II / / edited by Yuxin Peng [and five others]
| Image and graphics : 11th International Conference, ICIG 2021, Haikou, China, August 6-8, 2021, Proceedings, Part II / / edited by Yuxin Peng [and five others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (849 pages) |
| Disciplina | 006.6 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer graphics
Image processing - Digital techniques |
| ISBN | 3-030-87358-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Artificial Intelligence -- A Calibration Strategy for Smart Welding -- 1 Introduction -- 2 Background -- 3 Calibration Method and Models -- 3.1 Camera Calibration -- 3.2 Laer Calibration -- 3.3 Hand-Eye Calibration -- 4 Experiment and Results -- 4.1 Image Processing -- 4.2 Transformation Image Coordinates to Camera Co-ordinate -- 4.3 Transformation Camera Coordinates to Robot Coordinate -- 5 Conclusion -- 6 Future Work -- References -- Brain Connectivity: Exploring from a High-Level Topological Perspective -- 1 Introduction -- 2 Materials and Methods -- 2.1 Participants and Data Acquisition -- 2.2 Data Preprocessing -- 2.3 Subnetwork Embedding -- 2.4 SE-Based Identification -- 3 Results -- 3.1 The Stable Relationship Between SEs -- 3.2 Traditional Relationship Preserved in SE Vectors -- 3.3 Comparison Between the Traditional and Reconstructed Coupling -- 3.4 Coupling in Schizophrenia -- 4 Discussion -- 4.1 A Subsection Sample -- 5 Conclusion -- References -- Hetero-STAN: Crowd Flow Prediction by Heterogeneous Spatio-Temporal Attention Network -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Formulation of Spatio-Temporal Prediction -- 3.2 Heterogeneous Feature Enhancement -- 3.3 Spatio-Temporal Attention Mechanism -- 4 Experiments and Analyses -- 5 Conclusion -- References -- UAV Track Planning Algorithm Based on Graph Attention Network and Deep Q Network -- 1 Introduction -- 2 Track Planning Model Based on MDP -- 3 UAV Track Planning System Based on DQN -- 3.1 Basic Elements of Reinforcement Learning -- 3.2 Deep Q Network -- 3.3 System Model of Track Planning Based on DQN -- 4 Flight State Optimization Based on CNN and GAT -- 4.1 Feature Extraction Based on Pre-trained ResNet -- 4.2 State Optimization Model Based on Graph Attention Network.
4.3 Track Planning System Based on Flight State Optimization -- 5 Simulation and Discussion -- 5.1 Evaluation Index -- 5.2 Training and Testing -- 6 Conclusion -- References -- Object 6DoF Pose Estimation for Power Grid Manipulating Robots -- 1 Introduction -- 2 6DoF Pose Estimation -- 2.1 Pre-processing Stage -- 2.2 Instance Segmentation -- 2.3 Keypoints Prediction -- 2.4 2D-to-3D Projection -- 3 Experiments -- 3.1 Design the Clamp's Dataset -- 3.2 Results on Public Dataset Linemod -- 3.3 Results on Power Manipulating Robot -- 4 Conclusion -- References -- Novel Augmented Reality System for Oral and Maxillofacial Surgery -- 1 Introduction -- 2 Experimental Setup -- 3 Methods -- 3.1 System Framework -- 3.2 Virtual Model Production -- 3.3 Marker Recognition -- 3.4 Fusion View Generation -- 4 Experiments and Results -- 4.1 Experiment on Skull Phantom -- 4.2 Cadaveric Mandible Experiment -- 5 Conclusion -- References -- A New Dataset and Recognition for Egocentric Microgesture Designed by Ergonomists -- 1 Introduction -- 2 Realated Work -- 2.1 The Design of Gestures -- 2.2 Gesture Recognition -- 3 Methodology -- 3.1 Microgesture Set -- 3.2 Microgesture Dataset -- 3.3 Microgesture Recognition -- 4 Results -- 5 Conclusion -- References -- Machine Learning Architectures and Formulations -- Orthogonal Dual Graph Regularized Nonnegative Matrix Factorization -- 1 Introduction -- 2 Related Works -- 2.1 NMF -- 2.2 ONMF -- 2.3 GNMF -- 2.4 DNMF -- 3 Proposed Methods -- 3.1 ODNMF-U -- 3.2 ODNMF-V -- 3.3 ODNMF -- 4 Experimental Results -- 4.1 Experimental Setting -- 4.2 Datasets Description -- 4.3 Results Discussion -- 5 Conclusions -- References -- Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization -- 1 Introduction -- 2 Problem Formulation and Its Optimization -- 3 Convergence Analysis -- 4 Numerical Results -- 5 Conclusions -- References. Free Adversarial Training with Layerwise Heuristic Learning -- 1 Introduction -- 2 Related Work -- 2.1 Adversarial Defense -- 2.2 Adversarial Training -- 2.3 Training Acceleration -- 2.4 Adversarial Training Acceleration -- 3 Method -- 3.1 Adversarial Training -- 4 Experiments -- 4.1 CIFAR-10 Experiments -- 4.2 ImageNet Experiments -- 5 Conclusion -- References -- Adversarial Attack with KD-Tree Searching on Training Set -- 1 Introduction -- 2 Related Work -- 2.1 Fast Gradient Sign Method (FGSM) -- 2.2 Optimization-Based Attack (C& -- W) -- 2.3 Hot/Code Attack -- 2.4 Boundary Attack -- 3 Method -- 4 Experiments -- 4.1 Dataset Used in the Experiment -- 4.2 The Result of the Experiment -- 4.3 Performance Evaluation -- 5 Conclusions -- References -- Mixup Without Hesitation -- 1 Introduction -- 2 Related Work -- 3 Mixup Without Hesitation (mWh) -- 3.1 Observations -- 3.2 Algorithm -- 4 Experiments -- 4.1 Experiments on Image Classification Tasks -- 4.2 Transferability in CutMix -- 5 Discussion and Conclusion -- References -- An LDA and RBF-SVM Based Classification Method for Inertinite Macerals of Coal -- 1 Introduction -- 2 The Selection of Initial Features -- 2.1 Characteristic Analysis of Microscopic Image of Inertinite -- 2.2 Texture Feature Extraction -- 2.3 Gray Level Distribution Based Feature Extraction -- 3 Feature Extraction with LDA -- 4 Method of Classification -- 4.1 Construction of Classifier -- 4.2 Selection of Kernel Function -- 5 Experiment and Result Discussion -- 5.1 Implementation of Algorithm -- 5.2 Experimental Results and Discussion -- 6 Conclusion -- References -- A Weighted Non-convex Restoration Model for Hyperspectral Image -- 1 Introduction -- 2 Related Works and Preliminaries -- 3 A Weighted Non-convex Low-Rank Model for HSI Restoration -- 4 Experiments and Discussion -- 4.1 Quantitative Comparison. 4.2 Visual Quality Comparison -- 5 Conclusion -- References -- Edge-Based Blur Kernel Estimation Using Sparse Representation and Self-similarity -- 1 Introduction -- 2 Sparse Representation and Multi-scale Self-Similarity -- 2.1 Sparse Representation -- 2.2 Multi-scale Self-similarity and Non-local Regularization -- 3 Blind Deconvolution -- 3.1 Use of Cross-scale Self-similarity -- 3.2 Analysis on Regularizers -- 3.3 Modeling and Optimization -- 3.4 Implementation -- 4 Experiments -- 4.1 Quantitative Evaluation with Reference to Ground Truth -- 4.2 Qualitative Comparison on Real Images -- 5 Conclusion -- References -- Normal Distribution Function on Descriptor Extraction -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Triplet Loss Function -- 3.2 Topological Relationship with Normal Distribution -- 4 Experiments -- 4.1 UBC Photo Tourism -- 4.2 HPatches -- 4.3 Wide Baseline Stereo (W1BS) -- 5 Conclusion -- References -- Supervised Non-negative Matrix Factorization Induced by Huber Loss -- 1 Introduction -- 2 Proposed HSNMF -- 2.1 HSNMF Model -- 2.2 Update Rules of HSNMF -- 2.3 Convergence of the Proposed HSNMF Algorithm -- 2.4 HSNMF Algorithm -- 3 Experimental Results -- 3.1 Results on Non-noisy Images -- 3.2 Results on Noisy Images -- 4 Conclusions -- References -- Small Sample Identification for Specific Emitter Based on Adversarial Embedded Networks -- 1 Introduction -- 2 Formation of the Time-Frequency Spectrogram -- 3 Construction of Adversarial Embedded Network Model -- 3.1 Generative Model -- 3.2 Discriminative Model -- 3.3 Classifier -- 3.4 Objective Function and Loss Function -- 4 Radar Emitters Recognition -- 5 Communication Station Emitters Recognition -- 6 Conclusion -- References -- Multi-mode Tensor Singular Value Decomposition for Low-Rank Image Recovery -- 1 Introduction -- 2 Notations and Preliminaries -- 3 Method. 3.1 The Proposed Multi-mode Tensor Singular Value Decomposition -- 3.2 The Related Convex Optimization Works -- 3.3 The Proposed Multi-dimensional Square Model via TNN for Tensor Completion -- 4 Applications -- 4.1 Color Image Completion -- 4.2 Multispectral Image Completion -- 5 Conclusions -- References -- Hyperspectral Anomaly Detection Based on Tensor Truncated Nuclear Norm and Linear Total Variation Regularization -- 1 Introduction -- 2 Tensor Notations -- 3 Proposed Methods -- 3.1 TNNLTV for Anomaly Detection -- 3.2 ADMM Optimization Algorithm -- 4 Experiment -- 4.1 Data Sets Description -- 4.2 Performance -- 5 Conclusion -- References -- Face, Gesture, and Body Pose -- Deep Human Pose Estimation via Self-guided Learning -- 1 Introduction -- 2 Related Work -- 2.1 Self-Ensemble -- 2.2 Knowledge Distilling -- 3 Proposed Self-guided Learning -- 3.1 Problem Formulation -- 3.2 Model-Temporal Ensemble Guidance Learning -- 3.3 Self-guided Joint Loss Design -- 3.4 Overall Framework -- 4 Experimental Results -- 4.1 Implementation Details -- 4.2 Evaluation Metric -- 4.3 Overall Performance -- 4.4 Ablation Study -- 5 Conclusion -- References -- Binary Convolutional Neural Networks for Facial Action Unit Detection -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Fine-Tuned ResNet-18 -- 3.2 MDFS: Multi-layer Decision Fusion Strategy -- 3.3 BMDFS: MDFS with Binary Weights -- 4 Experiments -- 4.1 Datasets and Settings -- 4.2 Experimental Results -- 5 Conclusion -- References -- Efficient Example Mining for Anchor-Free Face Detection -- 1 Introduction -- 2 Related Work -- 2.1 Anchor Free Detection -- 2.2 Label Assignment -- 3 Efficient Example Mining -- 3.1 Pipeline -- 3.2 Density Balance Scale Assignment -- 3.3 Multi-scale ERF Prior -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation Details -- 5 Conclusion -- References. 6D Object Pose Estimation with Mutual Attention Fusion. |
| Record Nr. | UNISA-996464496203316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Image and Graphics : 11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part II / / edited by Yuxin Peng, Shi-Min Hu, Moncef Gabbouj, Kun Zhou, Michael Elad, Kun Xu
| Image and Graphics : 11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part II / / edited by Yuxin Peng, Shi-Min Hu, Moncef Gabbouj, Kun Zhou, Michael Elad, Kun Xu |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (849 pages) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Artificial intelligence Pattern recognition systems Computer engineering Computer networks Application software Computer Vision Artificial Intelligence Automated Pattern Recognition Computer Engineering and Networks Computer and Information Systems Applications |
| ISBN | 3-030-87358-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- A Calibration Strategy for Smart Welding -- Brain connectivity: exploring from a high-level topological perspective -- Hetero-STAN: Crowd Flow Prediction by Heterogeneous Spatio-Temporal Attention Network -- UAV Track Planning Algorithm Based on Graph Attention Network and Deep Q Network -- Object 6DoF Pose Estimation of Power Grid Manipulating Robot -- Novel Augmented Reality System for Oral and Maxillofacial Surgery -- A New Dataset and Recognition for Egocentric Microgesture Designed by Ergonomists -- Machine learning architectures and formulations -- Orthogonal Dual Graph Regularized Nonnegative Matrix Factorization -- Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization -- Free Adversarial Training with Layerwise Heuristic Learning -- Adversarial Attack with KD-Tree Searching on Training Set -- Mixup Without Hesitation -- An LDA and RBF-SVM Based Classification Method for Inertinite Macerals of Coal -- Weighted Non-convex Restoration Model for Hyperspectral Image -- Edge-Based Blur Kernel Estimation Using Sparse Representation and Self-Similarity -- Normal Distribution Function on Descriptor Extraction -- Supervised Non-Negative Matrix Factorization Induced by Huber Loss -- Small Sample Identification for Specific Emitter Based on Adversarial Embedded Networks -- Multi-mode tensor singular value decompositionfor low-rank image recovery -- Hyperspectral Anomaly Detection Based on Tensor Truncated Nuclear Norm and Linear Total Variation Regularization -- Face, Gesture, and Body Pose -- Deep Human Pose Estimation via Self-Guided Learning -- Binary Convolutional Neural Networks for Facial Action Unit Detection -- Efficient Example Mining For Anchor-free Face Detection -- 6D Object Pose Estimation with Mutual Attention Fusion -- Attention-Guided Siamese Network for Clothes-Changing Person Re-identification -- Cross-domain Person Re-identification Based on the Sample Relation Guidance -- Large-scale target detection and classification based on improved candidate regions -- Joint Face Detection and Landmark Localization Based on an Extremely Lightweight Network -- Extremely Tiny Face Detector for Platforms with Limited Resources -- Multi-pose Facial Expression Recognition based on Unpaired Images -- Keypoint Context Aggregation For Human Pose Estimation -- Clothes-Independent Identity Feature Learning for Long-Term Person Re-identification -- Lightweight Non-local High-resolution Networks for Human Pose Estimation -- Occluded Animal Shape and Pose Estimation from a Single Color Image -- Adaptively Fusing Complete Multi-resolution Features for Human Pose Estimation -- Multi-view Gait Recognition By Inception-Encoder And CL-GEI -- Facial Action Unit Detection Based on Transformer and Attention Mechanism -- Unsupervised Detailed Human Shape Estimation from Multi-view Color Images -- Device-Adaptive 2D Gaze Estimation: a Multi-Point Differential Framework -- Dual Gated Learning for Visible-Infrared Person Re-Identification -- Biological and Medical Image Processing.-Dual Attention Guided R2 U-Net Architecture for Right Ventricle Segmentation in MRI Images -- Global Characteristic Guided Landmark Detection for Genu Valgus and Varus Diagnosis -- Data-Dependence Dual Path Network for Choroidal Neovascularization Segmentation in SD-OCT images -- A Novel Feature Fusion Network for Myocardial Infarction Screening Based on ECG Images -- Semi-supervised Attention-Guided VNet for Breast Cancer Detection via Multi-task Learning -- Cross-Domain Transfer Learning for Vessel Segmentation in Computed Tomographic Coronary Angiographic Images -- Frequency-based convolutional neural network for efficient segmentation of histopathology whole slide images -- MR Image Denoising by FGMM Clustering of Image Patches -- 3D-Resnet Fused Attention For Autism Spectrum Disorder Classification -- CEID: Benchmark Dataset for Designing Segmentation Algorithms of Instruments Used in Colorectal Endoscopy -- CD Loss: A Class-Center based Distribution Loss for Discriminative Feature Learning in Medical Image Classification -- Pruning the Seg-Edge Bilateral Constraint Fully Convolutional Network for Iris Segmentation -- CAB-Net: Channel Attention Block Network for Pathological image cell nucleus segmentation -- Region Context Aggregation Network for Multi-organ Segmentation on Abdominal CT -- A Reversible Digital Watermarking Algorithm based on Medical Images via Threshold Segmentation and Contrast Enhancement -- EMISTA-based Quantitative PET Reconstruction -- Bootstrap Knowledge Distillation for Chest X-ray Image Classification with Noisy Labelling -- Multi-modal Fusion With Dense Connection For Acute Bilirubin Encephalopathy Classification -- 3-D Convolutional Neural Network Driven by Dimensionality Reduction for Hyperspectral Blood Cells Classification.-Deep Learning-Based Regional Sub-models Integration for Parkinson's Disease Diagnosis using Diffusion Tensor Imaging -- Individual-specific Connectome Fingerprint Based Classificationof Temporal Lobe Epilepsy -- Multi-atlas segmentation combining multi-task local label learning and semi-supervised label propagation -- HPCSeg-Net: Hippocampus Segmentation Network Integrating Autofocus Attention Mechanism and Feature Recombination and Recalibration Module -- Uncertainty-based Visual Guidance for Interactive Medical Volume Segmentation Editing -- Semi-supervised Yolo Network for Induced Pluripotent Stem Cells Detection -- Corona Virus Disease (COVID-19) Detection in CT Images Using Synergic Deep Learning -- Eye movement event detection based on path signature. . |
| Record Nr. | UNINA-9910502619403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Image and graphics technologies and applications : 15th Chinese conference, IGTA 2020, Beijing, China, September 19, 2020, revised selected papers / / Yongtian Wang, Xueming Li, Yuxin Peng (editors)
| Image and graphics technologies and applications : 15th Chinese conference, IGTA 2020, Beijing, China, September 19, 2020, revised selected papers / / Yongtian Wang, Xueming Li, Yuxin Peng (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XIII, 326 p. 179 illus., 116 illus. in color.) |
| Disciplina | 621.367 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Image processing - Digital techniques |
| ISBN | 981-336-033-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Processing and Enhancement Techniques -- Single Image Super-resolution Based on Generative Adversarial Networks -- A Striping Removal Method Based on Spectral Correlation in MODIS Data -- Multi-Modal 3-D Medical Image Fusion Based on Tensor Robust Principal Component Analysis -- Accurate Estimation of Motion Blur Kernel based on Genetic Algorithm -- Biometric Identification Techniques -- Graph Embedding Discriminant Analysis and Semi-supervised Extension for Face Recognition -- Fast and Accurate Face Alignment Algorithm Based on Deep Knowledge Distillation -- Machine Vision and 3D Reconstruction -- 3D Human Reconstruction from a Single Image -- Image/Video Big Data Analysis and Understanding -- Abnormal Crowd Behavior Detection based on Movement Trajectory -- Full Convolutional Color Constancy with Attention -- Simplifying Sketches with Conditional GAN -- Improved Method of Target Tracking Based on SiamRPN -- An Improved Target Tracking Method Based on DIMP -- Infrared Small Target Recognition with Improved Particle Filtering Based on Feature Fusion -- Target Recognition Framework and Learning Mode based on Parallel Images -- Crowd Anomaly Scattering Detection based on Motion.rar -- Computer Graphics -- View Consistent 3D Face Reconstruction Using Siamese Encoder-Decoders -- An Angle-based Smoothing Method for Triangular and Tetrahedral Meshes -- Virtual Reality and Human-Computer Interaction -- Rendering Method for Light-field Near-eye Displays Based on Micro-structures with Arbitrary Distribution -- AUIF: an Adaptive User Interface Framework for Multiple Devices -- Applications of Image and Graphics -- Control and On-board Calibration Method for In-situ Detection Using the Visible and Near-Infrared Imaging Spectrometer on the Yutu-2 Rover -- Deep Attention Network for Remote Sensing Scene Classification -- Thin Cloud Removal Using Cirrus Spectral Property for Remote Sensing Images -- A Multi-line Image Difference Technique to Background Suppression Based on Geometric Jitter Correction -- Other Research Works and Surveys Related to the Applications of Image and Graphics Technology -- Image Recognition Method of Defective Button Battery Base on Improved MobileNetV1. |
| Record Nr. | UNISA-996465357003316 |
| Gateway East, Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Image and Graphics Technologies and Applications : 15th Chinese Conference, IGTA 2020, Beijing, China, September 19, 2020, Revised Selected Papers / / edited by Yongtian Wang, Xueming Li, Yuxin Peng
| Image and Graphics Technologies and Applications : 15th Chinese Conference, IGTA 2020, Beijing, China, September 19, 2020, Revised Selected Papers / / edited by Yongtian Wang, Xueming Li, Yuxin Peng |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIII, 326 p. 179 illus., 116 illus. in color.) |
| Disciplina | 621.367 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer vision
Machine learning Pattern recognition systems Coding theory Information theory Computer networks Computer Vision Machine Learning Automated Pattern Recognition Coding and Information Theory Computer Communication Networks |
| ISBN | 981-336-033-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Processing and Enhancement Techniques -- Single Image Super-resolution Based on Generative Adversarial Networks -- A Striping Removal Method Based on Spectral Correlation in MODIS Data -- Multi-Modal 3-D Medical Image Fusion Based on Tensor Robust Principal Component Analysis -- Accurate Estimation of Motion Blur Kernel based on Genetic Algorithm -- Biometric Identification Techniques -- Graph Embedding Discriminant Analysis and Semi-supervised Extension for Face Recognition -- Fast and Accurate Face Alignment Algorithm Based on Deep Knowledge Distillation -- Machine Vision and 3D Reconstruction -- 3D Human Reconstruction from a Single Image -- Image/Video Big Data Analysis and Understanding -- Abnormal Crowd Behavior Detection based on Movement Trajectory -- Full Convolutional Color Constancy with Attention -- Simplifying Sketches with Conditional GAN -- Improved Method of Target Tracking Based on SiamRPN -- An Improved Target Tracking Method Based on DIMP -- Infrared Small Target Recognition with Improved Particle Filtering Based on Feature Fusion -- Target Recognition Framework and Learning Mode based on Parallel Images -- Crowd Anomaly Scattering Detection based on Motion.rar -- Computer Graphics -- View Consistent 3D Face Reconstruction Using Siamese Encoder-Decoders -- An Angle-based Smoothing Method for Triangular and Tetrahedral Meshes -- Virtual Reality and Human-Computer Interaction -- Rendering Method for Light-field Near-eye Displays Based on Micro-structures with Arbitrary Distribution -- AUIF: an Adaptive User Interface Framework for Multiple Devices -- Applications of Image and Graphics -- Control and On-board Calibration Method for In-situ Detection Using the Visible and Near-Infrared Imaging Spectrometer on the Yutu-2 Rover -- Deep Attention Network for Remote Sensing Scene Classification -- Thin Cloud Removal Using Cirrus Spectral Property for Remote Sensing Images -- A Multi-line Image Difference Technique to Background Suppression Based on Geometric Jitter Correction -- Other Research Works and Surveys Related to the Applications of Image and Graphics Technology -- Image Recognition Method of Defective Button Battery Base on Improved MobileNetV1. |
| Record Nr. | UNINA-9910447241603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern recognition and computer vision . Part II : Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, proceedings / / Yuxin Peng [and seven others] editors
| Pattern recognition and computer vision . Part II : Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, proceedings / / Yuxin Peng [and seven others] editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XV, 693 p. 318 illus., 227 illus. in color.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico | Pattern recognition systems |
| ISBN | 3-030-60639-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computing methodologies -- Machine learning -- Machine learning approaches -- Neural networks -- Biometrics Tracking -- Image segmentation -- Video segmentation -- Object detection -- Object recognition -- Computer vision -- Artificial intelligence -- Machine learning algorithms. |
| Record Nr. | UNISA-996418307103316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern Recognition and Computer Vision : Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part II / / edited by Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang
| Pattern Recognition and Computer Vision : Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part II / / edited by Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 693 p. 318 illus., 227 illus. in color.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Social sciences - Data processing Education - Data processing Machine learning Computer networks Computer systems Computer Vision Computer Application in Social and Behavioral Sciences Computers and Education Machine Learning Computer Communication Networks Computer System Implementation |
| ISBN | 3-030-60639-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computing methodologies -- Machine learning -- Machine learning approaches -- Neural networks -- Biometrics Tracking -- Image segmentation -- Video segmentation -- Object detection -- Object recognition -- Computer vision -- Artificial intelligence -- Machine learning algorithms. |
| Record Nr. | UNINA-9910427705703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||