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

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.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 Ill 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 Poolel3&