Computer Vision – ACCV 2012 [recurso electrónico] 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I

Annotation The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision Front Matter....Pages - Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer....Pages 1-15 Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes....Pages 16-30 Human Reidentification with Transferred Metric Learning....Pages 31-44 Tell Me What You Like and I’ll Tell You What You Are: Discriminating Visual Preferences on Flickr Data....Pages 45-56 Local Context Priors for Object Proposal Generation....Pages 57-70 Arbitrary-Shape Object Localization Using Adaptive Image Grids....Pages 71-84 Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences....Pages 85-96 Class-Specific Weighted Dominant Orientation Templates for Object Detection....Pages 97-110 Salient Object Detection via Color Contrast and Color Distribution....Pages 111-122 Data Decomposition and Spatial Mixture Modeling for Part Based Model....Pages 123-137 Appearance Sharing for Collective Human Pose Estimation....Pages 138-151 Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching....Pages 152-163 Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection....Pages 164-175 The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image....Pages 176-189 Local Hypersphere Coding Based on Edges between Visual Words....Pages 190-203 Spatially Local Coding for Object Recognition....Pages 204-217 Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach....Pages 218-231 Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets....Pages 232-245 One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery....Pages 246-258 Online Semi-Supervised Discriminative Dictionary Learning for Sparse Representation....Pages 259-273 Efficient Discriminative Learning of Class Hierarchy for Many Class Prediction....Pages 274-288 Grouping Active Contour Fragments for Object Recognition....Pages 289-301 Detecting Partially Occluded Objects with an Implicit Shape Model Random Field....Pages 302-315 Relative Forest for Attribute Prediction....Pages 316-327 Discriminative Dictionary Learning with Pairwise Constraints....Pages 328-342 Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition....Pages 343-357 Iris Recognition Using Consistent Corner Optical Flow....Pages 358-369 Face Recognition in Videos – A Graph Based Modified Kernel Discriminant Analysis....Pages 370-381 Learning Hierarchical Bag of Words Using Naive Bayes Clustering....Pages 382-395 Efficient Human Parsing Based on Sketch Representation....Pages 396-407 Exclusive Visual Descriptor Quantization....Pages 408-421 Underwater Live Fish Recognition Using a Balance-Guaranteed Optimized Tree....Pages 422-433 Local 3D Symmetry for Visual Saliency in 2.5D Point Clouds....Pages 434-445 Exploiting Features – Locally Interleaved Sequential Alignment for Object Detection....Pages 446-459 Efficient and Scalable 4th-Order Match Propagation....Pages 460-473 Hierarchical Object Representations for Visual Recognition via Weakly Supervised Learning....Pages 474-485 Invariant Surface-Based Shape Descriptor for Dynamic Surface Encoding....Pages 486-499 Linear Discriminant Analysis with Maximum Correntropy Criterion....Pages 500-511 AfNet: The Affordance Network....Pages 512-523 A Directed Graphical Model for Linear Barcode Scanning from Blurred Images....Pages 524-535 A Probabilistic 3D Model Retrieval System Using Sphere Image....Pages 536-547 Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes....Pages 548-562 Boosting with Side Information....Pages 563-577 Generalized Mutual Subspace Based Methods for Image Set Classification....Pages 578-592 Simultaneous Monocular 2D Segmentation, 3D Pose Recovery and 3D Reconstruction....Pages 593-606 Joint Kernel Learning for Supervised Image Segmentation....Pages 607-621 Application of Heterogenous Motion Models towards Structure Recovery from Motion....Pages 622-635 Locality-Constrained Active Appearance Model....Pages 636-647 Modeling Hidden Topics with Dual Local Consistency for Image Analysis....Pages 648-659 Design of Non-Linear Discriminative Dictionaries for Image Classification....Pages 660-674 Efficient Background Subtraction under Abrupt Illumination Variations....Pages 675-688 Naive Bayes Image Classification: Beyond Nearest Neighbors....Pages 689-703 Contextual Pooling in Image Classification....Pages 704-715 Spatial Graph for Image Classification....Pages 716-729 Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation....Pages 730-744 Efficient Pixel-Grouping Based on Dempster’s Theory of Evidence for Image Segmentation....Pages 745-759 Video Segmentation with Superpixels....Pages 760-774 A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation....Pages 775-789 Active Learning for Interactive Segmentation with Expected Confidence Change....Pages 790-802 Cross Anisotropic Cost Volume Filtering for Segmentation....Pages 803-814 Back Matter....Pages - Oral Session 1: Object Detection and Learning Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes Human Reidentification with Transferred Metric Learning Poster Session 1: Object Detection, Learning and Matching Tell Me What You Like and I’ll Tell You What You Are: Discriminating Visual Preferences on Flickr Data Local Context Priors for Object Proposal Generation Arbitrary-Shape Object Localization Using Adaptive Image Grids Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences Class-Specific Weighted Dominant Orientation Templates for Object Detection Salient Object Detection via Color Contrast and Color Distribution Data Decomposition and Spatial Mixture Modeling for Part Based Model Appearance Sharing for Collective Human Pose Estimation ^ Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image Local Hypersphere Coding Based on Edges between Visual Words Spatially Local Coding for Object Recognition Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery Online Semi-Supervised Discriminative Dictionary Learning for Sparse Representation Efficient Discriminative Learning of Class Hierarchy for Many Class Prediction Oral Session 2: Object Recognition I Grouping Active Contour Fragments for Object Recognition Detecting Partially Occluded Objects with an Implicit Shape Model Random Field ^ ^^ Relative Forest for Attribute Prediction Discriminative Dictionary Learning with Pairwise Constraints Poster Session 2: Feature, Representation, and Recognition Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition Iris Recognition Using Consistent Corner Optical Flow Face Recognition in Videos – A Graph Based Modified Kernel Discriminant Analysis Learning Hierarchical Bag of Words Using Naive Bayes Clustering Efficient Human Parsing Based on Sketch Representation Exclusive Visual Descriptor Quantization Underwater Live Fish Recognition Using a Balance-Guaranteed Optimized Tree Local 3D Symmetry for Visual Saliency in 2.5D Point Clouds Exploiting Features – Locally Interleaved Sequential Alignment for Object Detection Efficient and Scalable 4th-Order Match Propagation Hierarchical Object Representations for Visual Recognition via Weakly Supervised Learning ^ ^^ Invariant Surface-Based Shape Descriptor for Dynamic Surface Encoding Linear Discriminant Analysis with Maximum Correntropy Criterion AfNet: The Affordance Network A Directed Graphical Model for Linear Barcode Scanning from Blurred Images A Probabilistic 3D Model Retrieval System Using Sphere Image Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes Boosting with Side Information Generalized Mutual Subspace Based Methods for Image Set Classification Oral Session 3: Segmentation and Grouping Simultaneous Monocular 2D Segmentation, 3D Pose Recovery and 3D Reconstruction Joint Kernel Learning for Supervised Image Segmentation Application of Heterogenous Motion Models towards Structure Recovery from Motion Poster Session 3: Segmentation, Grouping, and Classification Locality-Constrained Active Appearance Model Modeling Hidden Topics with Dual Local Consistency for Image Analysis ^ ^^ Design of Non-Linear Discriminative Dictionaries for Image Classification Efficient Background Subtraction under Abrupt Illumination Variations Naive Bayes Image Classification: Beyond Nearest Neighbors Contextual Pooling in Image Classification Spatial Graph for Image Classification Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation Efficient Pixel-Grouping Based on Dempster’s Theory of Evidence for Image Segmentation Video Segmentation with Superpixels A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation Active Learning for Interactive Segmentation with Expected Confidence Change Cross Anisotropic Cost Volume Filtering for Segmentation. ^^