Computer Vision : CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part I / / edited by Honbin Zha, Xilin Chen, Liang Wang, Qiguang Miao

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015
• Edizione: 1st ed. 2015.
• Descrizione fisica: 1 online resource (XX, 462 p. 200 illus. in color.)
• Disciplina: 004
• Soggetto topico: Optical data processing; Artificial intelligence; Pattern recognition; Image Processing and Computer Vision; Artificial Intelligence; Pattern Recognition
• Persona (resp. second.): ZhaHonbin; ChenXilin; WangLiang; MiaoQiguang
• Note generali: Includes Index.
• Nota di contenuto: Intro -- Preface -- Organization -- Organizers -- Contents - Part I -- Contents - Part II -- Fusion Technique for Infrared and Visible Images Based on Improved Quantum Theory Model -- 1 Introduction -- 2 Traditional Quantum Theory Model -- 3 Proposed Fusion Technique -- 3.1 Improved Quantum Theory Model -- 3.2 Concrete Fusion Algorithm -- 4 Experimental R Results and Discussion -- 5 Conclusions -- References -- Skeleton-Based Human Action Recognition with Profile Hidden Markov Models -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Representation of Meaningful Action Units -- 3.2 Clustering Feature Using Unsupervised Learning -- 3.3 Profile HMMs for Temporal Alignment of Human Motion -- 4 Experimental Evaluation -- 4.1 Evaluation Settings -- 4.2 Experimental Results -- 5 Conclusions and Future Work -- References -- Single Image Super-Resolution via Blind Blurring Estimation and Dictionary Learning -- 1 Introduction -- 2 Related Work -- 2.1 Internal Statistics and Blur Kernel Estimation -- 2.2 Coupled Dictionary Learning -- 3 Proposed Approach -- 3.1 Blind Kernel Estimation with SPP -- 3.2 SR Recovery -- 4 Experimental Results -- 4.1 Comparisons for BKE -- 5 Conclusion -- References -- Two-layers Local Coordinate Coding -- 1 Introduction -- 2 Prior Art -- 3 Two-Layers Local Coordinate Coding -- 3.1 Lipschitz Smoothness -- 3.2 Two-layers Coordinate Coding -- 4 Two-Layers Coding Formulation -- 4.1 First-Layer Formulation -- 4.2 Second-Layer Formulation -- 5 Experiment Verification -- 5.1 Quantitative Results -- 5.2 Applications in Robotics -- 6 Conclusions -- References -- A Graph Matching and Energy Minimization Based Algorithm for Lunar Surface Image Mosaic -- 1 Introduction -- 2 The Proposed Lunar Surface Image Mosaic Algorithm -- 2.1 Graph Matching Based Image Registration -- Feature Extraction. -- Feature Correspondence. ; Image Transformation and Interpolation. -- 2.2 Energy Minimization Based Image Stitching -- Exposure Compensation. -- Pixel Labelling. -- Gradient Reconstruction. -- 3 Experiment -- 4 Conclusion -- References -- A Real Time Robust Hand Tracking Method with Normal Cameras -- 1 Introduction -- 2 Efficient Tracking Framework -- 2.1 Initial Hand Detection -- 2.2 Segmentation Module -- 2.3 Tracking Module -- 3 Enhancements for Robust Tracking -- 3.1 Failure Compensation -- 3.2 Adaptive Threshold Segmentation -- 3.3 Interference Alert/Mitigation -- 4 Tracking Performance -- 4.1 Evaluation Setup -- 4.2 Tracking Efficiency -- 4.3 Tracking Robustness -- 5 Conclusions -- References -- Hypergraph Regularized Autoencoder for 3D Human Pose Recovery -- 1 Introduction -- 2 Hypergraph Regularized Autoencoder -- 2.1 Marginalized Denoising Autoencoders -- 2.2 Manifold Regularization -- 2.3 Hypergraph Optimization -- 3 Experimental Evaluation -- 3.1 Datasets and Settings -- 3.2 Optimization of Autoencoders -- 3.3 Comparison with State-of-the-Arts -- 4 Conclusion -- References -- Target Recognition Based on Feature Weighted Intuitionistic FCM -- 1 Introduction -- 2 Algorithm for Feature Weighted Intuitionistic Fuzzy -- means Clustering -- 3 Experimental Results and Analysis -- 3.1 FWIFCM Algorithm's Clustering Experiment -- 3.2 Target Recognition Simulation Instance Based on the Algorithm of FWIFCM -- 4 Conclusions -- References -- The Modified Mumford-Shah Model Based on Nonlocal Means Method for Textures Segmentation -- 1 Introduction -- 2 The Mumford-Shah Model -- 3 The Modified Mumford-Shah Model Based on Nonlocal Means Method -- 3.1 Nonlocal Operators -- 3.2 The Proposed Model -- 4 Experiment and Analysis -- 5 Conclusions -- References -- Segmentation-Based Salient Object Detection -- 1 Introduction -- 2 Method -- 2.1 Salient Object Detection with Segmentation. ; 2.2 A New Dataset Labeled with Hierarchical Salient Objects -- 3 Experimental Results -- 4 Conclusion and Discussion -- References -- Non-uniform Motion Deblurring Using Normalized Hyper Laplacian Prior -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Framework of Efficient Filter Flow -- 3.2 Normalized Hyper Laplacian Prior in EFF -- 3.3 Removing Poorly Estimated Blur Kernels -- 3.4 Re-estimating Erroneous Local Kernels -- 4 Numerical Experiments -- 5 Conclusion -- References -- Robust Mean Shift Tracking Based on Refined Appearance Model and Online Update -- 1 Introduction -- 2 Mean Shift Tracking Algorithm -- 3 The Proposed Tracking Algorithm -- 3.1 Simple Tracking -- 3.2 Model Construction -- 3.3 Tracking with Refined Model -- 3.4 Model Update -- 3.5 Summary of the Whole Algorithm -- 4 Experiments -- 5 Discussion -- 6 Conclusion -- References -- An Effective Multiview Stereo Method for Uncalibrated Images -- 1 Introduction -- 2 Overview -- 3 Match Expansion -- 4 Point-Cloud Expansion -- 4.1 Optimization -- 4.2 Expansion -- 5 Experimental Results and Comparisons -- 6 Conclusion -- References -- The Human Image Segmentation Algorithm Based on Face Detection and Biased Normalized Cuts -- 1 Introduction -- 2 Related Work -- 2.1 Face Detection -- 2.2 Human Image Segmentation -- 3 Our Algorithm Based on Face Detection and Biased Normalized Cuts -- 4 Analysis and Experiments -- 5 Conclusions and Future Work -- References -- Survey on Eye Movement Based Authentication Systems -- 1 Introduction -- 2 Eye Movement Based Authentication Framework and Technical Modules -- 3 Cases Study -- 3.1 FBI + APM + KBID -- 3.2 FBI + GPM + KBID -- 3.3 FBI + GPM + BBID -- 3.4 SBI + APM + KBID -- 3.5 SBI + GPM + BBID -- 4 Discussion -- 4.1 Fixation vs. Saccade -- 4.2 APM vs. GPM and KBID vs. BBID. ; 4.3 Summary and Comparison of State-of-the-Art EMBA Systems Technical Details -- 5 Conclusion -- References -- A Discriminant Sparse Representation Graph-Based Semi-Supervised Learning for Hyperspectral Image Classification -- 1 Introduction -- 2 Related Works -- 3 Discriminant Sparse Representation Graph Construction -- 3.1 Estimation of Class-Probability -- 3.2 Discriminant Sparse Representation Graph -- 4 Experiments and Analysis -- 4.1 Experimental Datasets -- 4.2 Results of Classification Experiments -- 5 Conclusion -- References -- Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields -- 1 Introduction -- 2 The Proposed Method -- 2.1 GMM Modeling for Likelihood Function -- 2.2 Anisotropic MLL for Spatial Prior -- 2.3 Computing the MAP Estimate via Simulated Annealing -- 3 Experiments -- 3.1 Data Sets -- 3.2 Experimental Results -- 4 Conclusion -- References -- Effective Facial Expression Recognition via the Boosted Convolutional Neural Network -- 1 Introduction -- 2 Related Works -- 3 The Proposed Boosted-CNN Method -- 3.1 Overview -- 3.2 Reducing Over-Fitting -- 3.3 Boosting Algorithm -- 4 Experimental Results -- 4.1 Experiment on the CK+ Database -- 4.2 Experiments on JAFFE Database -- 5 Conclusion and Future Work -- References -- Structured Sparse Coding for Classification via Reweighted 2,1 Minimization -- 1 Introduction -- 2 Related Work -- 3 Our Method -- 3.1 Problem Formulation -- 3.2 The Proposed Iterative Algorithm -- 3.3 Classification Process -- 4 Experiment -- 4.1 Implementation Details -- 4.2 Face Recognition -- 4.3 Gender Classification -- 4.4 Scene Classification -- 5 Summary -- References -- Detail-Enhanced Cross-Modality Face Synthesis via Guided Image Filtering -- 1 Introduction -- 2 Related Work -- 3 Cross-Modality Face Synthesis -- 3.1 K-NN-Based Algor rithm. ; 3.2 Guided Image Filtering-Based Algorithm -- 4 Experimental Results -- 4.1 Evaluation on the CUHK Benchmark Dataset -- 4.2 Visible-to-Near-Infrared Face Synthesis -- 5 Conclusions -- References -- Edge-Directed Single Image Super-Resolution via Cross-Resolution Sharpening Function Learning -- 1 Introduction -- 2 Edge-Directed Single-Image Super-Resolution -- 3 Cross-Resolution Gradient Magnitude Sharpening -- 3.1 Construction of Tl -- 3.2 High-Resolution Gradient Construction -- 4 Implementation -- 5 Experiments and Analysis -- 5.1 Comparisons with the State-of-the-Art Approaches -- 5.2 Large-Scale Comparison -- 5.3 Comparisons with Edge-Directed Reconstruction Method -- 6 Conclusion and Discussion -- References -- Compressive Tracking Based on Particle Filter -- 1 Introduction -- 2 Fast Compressive Tracking -- 3 Proposed Method -- 3.1 The Element Number of Measurement Vector -- 3.2 Calculation Method of Particle Weights -- 4 Experiments -- 4.1 Quantitative Evaluation -- 4.2 Visual Evaluation -- 5 Conclusions -- References -- An Adaptive Threshold Algorithm for Moving Object Segmentation -- 1 Introduction -- 2 Object Segmentation Based on Fixed Threshold -- 3 Object Segmentation Algorithm Based on Adaptive Threshold -- 3.1 The Basic Steps of the Algorithm -- 3.2 Threshold Initialization Based on Gaussian Mixture Model and Grabcut -- 3.3 Threshold Learning Based on K-Means Clustering -- 3.4 Threshold Updating -- 4 Experimental Results -- 5 Conclusions -- References -- Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image -- 1 Introduction -- 2 Method -- 2.1 Image Registration via Minimum Spanning Tree -- 2.2 Segmentation via Label Fusion -- 2.3 Interactive Registration and Segmentation -- 2.4 Summary: The Interactive Registration-Segmentation Pipeline -- 3 Experimental Results -- 4 Discussion. ; Negative-Supervised Cascaded Deep Learning for Traffic Sign Classification.
• Sommario/riassunto: The two volumes CCIS 546 and 547 constitute the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2015, held in Xi'an, China, in September 2015. The total of 89 revised full papers presented in both volumes were carefully reviewed and selected from 176 submissions. The papers address issues such as computer vision, machine learning, pattern recognition, target recognition, object detection, target tracking, image segmentation, image restoration, face recognition, image classification.
• Titolo autorizzato: Computer Vision
• ISBN: 3-662-48558-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910298962103321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 546