10975nam 2200505 450 99646453360331620220627203005.03-030-87361-7(CKB)4100000012037952(MiAaPQ)EBC6737967(Au-PeEL)EBL6737967(OCoLC)1272994084(PPN)258051795(EXLCZ)99410000001203795220220627d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierImage and graphicsPart III 11th International Conference, ICIG 2021, Haikou, China, August 6-8, 2021, proceedings /Yuxin Peng [and five others], editorsCham, Switzerland :Springer,[2021]©20211 online resource (840 pages)Lecture notes in computer science : image processing, computer vision, pattern recognition, and graphics ;Volume 128903-030-87360-9 Includes bibliographical references and index.Intro -- Preface -- Organization -- Contents - Part III -- 3D Computer Vision -- Efficient Depth-Included Residual Refinement Network for RGB-D Saliency Detection -- 1 Introduction -- 2 Related Work -- 2.1 RGB Salient Object Detection -- 2.2 RGB-D Salient Object Detection -- 3 The Proposed Network -- 3.1 Architecture Overview -- 3.2 Depth Correction Module -- 3.3 Multi-scales Localization Module -- 3.4 Residual Refinement Module -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Compared with the State-of-the-arts -- 4.3 Ablation Study -- 5 Conclusion -- References -- Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network -- 1 Introduction -- 2 Related Works -- 2.1 2D Feature Descriptors -- 2.2 3D Feature Descriptors -- 2.3 Deep Similarity Learning Networks -- 2.4 2D-3D Cross-Domain Feature Descriptors -- 3 Methodology -- 3.1 Network Architecture -- 3.2 Spatial Transformer Network -- 3.3 Hard Triplet Loss -- 4 Experiments -- 4.1 Dataset -- 4.2 2D-3D Retrieval Task -- 4.3 3D Global Registration -- 4.4 Ablation Study -- 5 Conclusion -- References -- A Stereo Matching Method for Three-Dimensional Eye Localization of Autostereoscopic Display -- 1 Introduction -- 2 Autostereoscopic Display and Eye Localization -- 3 Stereo Matching and 3D Localization -- 3.1 The Principle of Binocular Stereo Vision -- 3.2 Image Matching Algorithm -- 4 An Eye Stereo Matching Algorithm Based on ZNCC -- 4.1 Algorithm Overview -- 4.2 Improvement Based on the Operation Logic of Matching Algorithm -- 4.3 Optimization Based on the Application Scenarios of Stereoscopic Display -- 5 Experiment and Discussion -- 6 Conclusion -- References -- Scaling Invariant Harmonic Wave Kernel Signature for 3D Point Cloud Similarity -- 1 Introduction -- 2 Related Works -- 2.1 Contribution -- 3 Fundamentals and Pipeline.3.1 3D Point Cloud Laplace-Beltrami Operator -- 3.2 Pipeline -- 4 Scaling Invariant Harmonic Wave Kernel Signature -- 4.1 Wave Kernel Signature -- 4.2 Scaling Invariant Harmonic Wave Kernel Signature -- 4.3 Invariance of the Harmonic Wave Kernel Signature -- 4.4 3D Point Cloud Models Similarity Measure -- 5 Experiments -- 5.1 Effectiveness of the SIHWKS -- 5.2 Robutness of the SIHWKS and Similarity Results -- 6 Conclusion -- References -- PST-NET: Point Cloud Sampling via Point-Based Transformer -- 1 Introduction -- 2 Related Work -- 2.1 Point Cloud Sampling -- 2.2 Point-Based Deep Learning -- 3 Network -- 3.1 Data Augmentation -- 3.2 Transformer -- 3.3 Loss -- 4 Experiments -- 4.1 ModelNet40 -- 4.2 Implementation Details -- 4.3 Controlled Experiments of Relation Function -- 4.4 Classification -- 5 Conclusion -- References -- Bird Keypoint Detection via Exploiting 2D Texture and 3D Geometric Features -- 1 Introduction -- 2 Related Work -- 2.1 Traditional Methods -- 2.2 Deep Learning Methods -- 2.3 Motivation of Our Method -- 3 Proposed Method -- 3.1 2D Branch -- 3.2 3D Branch -- 3.3 Fusion Module -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Dataset and Evaluation Metrics -- 4.3 Comparison with State-of-the-arts -- 4.4 Ablation Study -- 5 Conclusion -- References -- Rotation Aware 3D Point Cloud Vehicle Detection -- 1 Introduction -- 2 Related Work -- 2.1 Point-Based Methods -- 2.2 Voxel-Based Methods -- 3 Method -- 3.1 Backbone and Detection Networks -- 3.2 Auxiliary Network -- 3.3 Loss Function -- 4 Experiment -- 4.1 Implementation Details -- 4.2 Evaluation on KITTI Validation Set -- 4.3 Ablation Studies -- 5 Conclusions -- References -- Improved 3D Morphable Model for Facial Action Unit Synthesis -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 3D Morphable Model -- 3.2 Improved 3DMM for AU Synthesis (AU-3DMM).4 Experiments -- 5 Conclusion -- References -- Semantic Guided Multi-directional Mixed-Color 3D Printing -- 1 Introduction -- 2 The System -- 2.1 The Hardware -- 2.2 The Software -- 3 Color Mixing Scheme -- 3.1 Extruder with Multiple Inputs -- 3.2 Color Mixing Control -- 3.3 Removing the Material with Transition Color -- 4 Semantic Guided Model Segmentation -- 4.1 User Assigned Model Semantics -- 4.2 Print Sequence Planning -- 4.3 Subdivision of Components -- 5 Experiment -- 5.1 Effectiveness of Color Switching Scheme -- 5.2 Some Examples -- 6 Conclusion -- References -- KeypointNet: Ranking Point Cloud for Convolution Neural Network -- 1 Introduction -- 2 Method -- 2.1 KeypointNet -- 2.2 KeypointNet Instantiation for CNN -- 2.3 Sampling Layer -- 3 Experimental Results -- 3.1 Comparison on Classification -- 3.2 Comparison on Segmentation -- 4 Conclusion -- References -- Geometric Context Sensitive Loss and Its Application for Nonrigid Structure from Motion -- 1 Introduction -- 2 Related Work -- 3 The Proposed GCS Loss Function -- 3.1 Revisiting the Mean Square Error Loss -- 3.2 The Proposed Geometric Context Sensitive Loss -- 4 Applications of the GCS Loss in NRSFM -- 4.1 Basic Formulation -- 4.2 Leverage GCS Loss -- 4.3 Optimization -- 5 Experiments -- 5.1 Datasets -- 5.2 Evaluation Metrics -- 5.3 Implementation Details -- 5.4 Baselines -- 5.5 Results and Discussions -- 6 Conclusions -- References -- 3D Reconstruction from Single-View Image Using Feature Selection -- 1 Introduction -- 2 Related Work -- 2.1 Voxel Grid -- 2.2 Other Representation of 3D Object -- 3 The Proposed Module -- 3.1 Point Selection in Inference and Training -- 3.2 Point-Wise Features and MLP Layer Head -- 4 Experiments -- 4.1 Datasets, Metrics and Loss Function -- 4.2 Implementation Details -- 4.3 Reconstruction of Synthetic Images -- 4.4 Space Complexity -- 5 Conclusions.References -- Computational Photography -- Adaptive Steganography Based on Image Edge Enhancement and Automatic Distortion Learning -- 1 Introduction -- 2 Related Work -- 2.1 Distortion Minimization Framework -- 2.2 Automatic Distortion Learning Steganography Methods Using GAN -- 3 The Proposed Framework -- 3.1 The Overall Architecture -- 3.2 Image Edge Enhancement -- 3.3 The Architecture of the Generator G -- 3.4 The Training Strategy -- 4 Experimental Results and Analysis -- 4.1 Experiment Setups -- 4.2 The Selection of the Image Edge Enhancement Methods -- 4.3 Comparison of Different Generators -- 4.4 Comparison with State-of-the-Art Methods -- 4.5 The Practical Application -- 5 Conclusion -- References -- No-Reference Image Quality Assessment via Broad Learning System -- 1 Introduction -- 2 Broad Learning System -- 3 NR IQA Based BLS -- 3.1 Structure Features -- 3.2 Statistical Features -- 4 Numerical Experiments -- 4.1 Single Database Performance Comparisons -- 4.2 Single Distortion Type Performance Comparison -- 4.3 Cross-Validation Performance -- 5 Conclusion -- References -- Hindsight Curriculum Generation Based Multi-Goal Experience Replay -- 1 Introduction -- 2 Related Works -- 3 Background -- 3.1 Multi-Goal RL -- 3.2 Universal Value Function Approximators -- 3.3 Hindsight Experience Replay -- 4 Hindsight Curriculum Generation -- 4.1 Challenges of Hindsight -- 4.2 Clustering and Evaluation -- 4.3 Goals Replay -- 4.4 Multi-Goal Experience Replay -- 5 Experiments -- 6 Conclusion -- References -- Gesture-Based Autonomous Diving Buddy for Underwater Photography -- 1 Introduction -- 2 Related Work -- 3 Application Scenarios and System Description -- 3.1 Applications Scenarios -- 3.2 System Description -- 4 Gesture-Based Control Design -- 4.1 Framework -- 4.2 Theory and Algorithm Design -- 5 Algorithm and System Experiment.5.1 Algorithm Experiment -- 5.2 System Experiment -- 6 Conclusions -- References -- Adaptive Underwater Image Enhancement via Color Channel Compensation Based on Optical Restoration and Fusion -- 1 Introduction -- 1.1 Recent Method -- 1.2 Underwater Image Formation Model -- 1.3 Strength and Weakness -- 2 Restoration and Enhancement Details -- 2.1 Fast Visibility Restoration Applied on Green Channel -- 2.2 Adaptive Color Channel Compensation -- 2.3 White Balance Before Multiscale Fusion -- 3 Experiments -- 3.1 Qualitative Assessment -- 3.2 Quantitative Comparison -- 4 Conclusion -- References -- A Fast Domain Adaptation Network for Image Super-Resolution -- 1 Introduction -- 1.1 A Subsection Sample -- 2 Related Works -- 2.1 Single Image Super Resolution -- 2.2 Domain Adaptation -- 3 The Proposed Method -- 3.1 Overview of Fast Domain Adaptation Network -- 3.2 The Architecture of Fast Domain Adapation Module -- 3.3 Pretrained SR Model -- 4 Experiments -- 4.1 Experimental Details -- 4.2 Experiments on Real-World Dataset -- 4.3 Experiments on Synthetic Dataset -- 5 Conclusion -- References -- Using Conv-LSTM to Refine Features for Lightweight Image Super-Resolution Network -- 1 Introduction -- 2 Methodology -- 2.1 Network Architecture -- 2.2 Deep Feature Extraction -- 2.3 LSTM Feature Refinement -- 3 Experiments and Results -- 3.1 Experiment Settings -- 3.2 Ablation Studies -- 3.3 Comparisons with Other Methods -- 4 Conclusions -- References -- No-Reference Image Quality Assessment for Contrast Distorted Images -- 1 Introduction -- 2 Proposed Method -- 2.1 Image Sequence -- 2.2 Objective Statistical Attributes -- 2.3 Subjective Perception Attributes -- 3 Experimental Results -- 4 Conclusion -- References -- Multi-scale Deformable Deblurring Kernel Prediction for Dynamic Scene Deblurring -- 1 Introduction -- 2 Related Works -- 3 Proposed Methods.3.1 Overview.LNCS sublibrary.SL 6,Image processing, computer vision, pattern recognition, and graphics ;Volume 12890.Computer graphicsCongressesComputer graphics006.6Peng YuxinMiAaPQMiAaPQMiAaPQBOOK996464533603316Image and Graphics2504630UNISA03463oam 2200625I 450 991096998830332120251117081318.01-317-45433-21-315-69893-51-317-45434-010.4324/9781315698939 (CKB)3710000000748579(MiAaPQ)EBC4579039(Au-PeEL)EBL4579039(CaPaEBR)ebr11233836(OCoLC)953659918(OCoLC)956466927(OCoLC)999774502(FINmELB)ELB142121(BIP)63336509(BIP)12118729(EXLCZ)99371000000074857920180706e20152005 uy 0engurcnu||||||||rdacontentrdamediardacarrierThe system made me do it corruption in post-communist societies /Rasma KarklinsLondon :Routledge,2015.1 online resource (230 pages)First published 2005 by M.E. Sharpe, Inc.0-7656-1634-3 0-7656-1633-5 Includes bibliographical references and index.1. Introduction : all corruption is not the same -- 2. The typology of post-communist corruption -- 3. The experience of corruption -- 4. Attitudes and discourses about corruption -- 5. Political legacies : old habits die hard -- 6. The opposites of corruption -- 7. The role of institutions -- 8. Implementing institutional accountability -- 9. The role of the right anti-corruption strategy -- 10. Conclusion : how to contain corruption.Strike up a conversation with a citizen from the post-communist region and invariably the talk will turn to the topic of corruption - the misuse of public power for private gain. People are sure that corruption is widespread, whether from their own experiences or stories they have heard from others. They feel frustrated that there seems to be nothing they can do about it, that they are helpless, and that they are being played for fools. And many are cynical: they feel that they, too, have to play the game because "the system" compels them to do so. But what system exactly? What are the structures and mechanisms of corruption in post-communist societies? "The System Made Me Do It" is the first comprehensive study of the origin, nature, and consequences of corruption in post-communist societies. While international actors decry corruption as a major impediment to democracy building and economic development, the problem is not well understood. This book fills that gap, and suggests innovative and practical institutional strategies for containing corruption. It achieves a rare and perfect balance of disciplined analysis, practicality, and passion.Political corruptionEurope, EasternPolitical corruptionEurope, CentralPolitical corruptionFormer Soviet republicsPolitical corruptionFormer communist countriesPolitical corruptionPolitical corruptionPolitical corruptionPolitical corruption364.1/323/091717364.1323091717Karklins Rasma.675900MiAaPQMiAaPQMiAaPQBOOK9910969988303321The system made me do it4474729UNINA