Oral Session 1: Multiple View and Stereo -- Multiple View Reconstruction of a Quadric of Revolution from Its Occluding Contours -- Robust Focal Length Estimation by Voting in Multi-view Scene Reconstruction -- Support Aggregation via Non-linear Diffusion with Disparity-Dependent Support-Weights for Stereo Matching -- Oral Session 2: Face and Pose Analysis -- Manifold Estimation in View-Based Feature Space for Face Synthesis across Poses -- Estimating Human Pose from Occluded Images -- Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning -- 3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video -- Oral Session 3: Motion Analysis and Tracking -- Mean-Shift Object Tracking with a Novel Back-Projection Calculation Method -- A Shape Derivative Based Approach for Crowd Flow Segmentation -- Learning Group Activity in Soccer Videos from Local Motion -- Combining Discriminative and Descriptive Models for Tracking -- Oral Session 4: Segmentation -- From Ramp Discontinuities to Segmentation Tree -- Natural Image Segmentation with Adaptive Texture and Boundary Encoding -- Gradient Vector Flow over Manifold for Active Contours -- 3D Motion Segmentation Using Intensity Trajectory -- Oral Session 5: Feature Extraction and Object Detection -- Vehicle Headlights Detection Using Markov Random Fields -- A Novel Visual Organization Based on Topological Perception -- Multilevel Algebraic Invariants Extraction by Incremental Fitting Scheme -- Towards Robust Object Detection: Integrated Background Modeling Based on Spatio-temporal Features -- Oral Session 6: Image Enhancement and Visual Attention -- Image Enhancement of Low-Light Scenes with Near-Infrared Flash Images -- A Novel Hierarchical Model of Attention: Maximizing Information Acquisition -- Interactive Shadow Removal from a Single Image Using Hierarchical Graph Cut -- Visual Saliency Based on Conditional Entropy -- Oral Session 7: Machine Learning Algorithms for Vision -- Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach -- An Online Framework for Learning Novel Concepts over Multiple Cues -- Efficient Partial Shape Matching of Outer Contours -- Level Set Segmentation Based on Local Gaussian Distribution Fitting -- Oral Session 8: Object Categorization and Face Recognition -- Categorization of Multiple Objects in a Scene without Semantic Segmentation -- Distance-Based Multiple Paths Quantization of Vocabulary Tree for Object and Scene Retrieval -- Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles -- Incorporating Spatial Correlogram into Bag-of-Features Model for Scene Categorization -- Oral Session 9: Biometrics and Surveillance -- Human Action Recognition under Log-Euclidean Riemannian Metric -- Clustering-Based Descriptors for Fingerprint Indexing and Fast Retrieval -- Temporal-Spatial Local Gaussian Process Experts for Human Pose Estimation -- Finger-Vein Recognition Based on a Bank of Gabor Filters.