Computer Vision -- ACCV 2009

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.