Computer Vision - Accv 2006: 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006, Proceedings, Part I

ISBN-13: 9783540312192 / Angielski / Miękka / 2006 / 976 str.

P. Narayanan; P. J. Narayanan

Opis

Welcometothe7thAsianConferenceonComputerVision.Itgivesusgreatpl- sure to bring forth its proceedings. ACCV has been making its rounds through the Asian landscape and came to India this year. We are proud of the technical program we have put together and we hope you enjoy it. Interest in computer vision is increasing and ACCV 2006 attracted about 500 submission. The evaluation team consisted of 27 experts serving as Area Chairs and about 270 reviewers in all. The whole process was conducted electronically in a double-blind manner, a ?rstfor ACCV. Eachpaper wasassignedto an Area Chair who found three competent reviewers for it. We were able to contain the maximum load on the reviewers to nine and the average load to less than six. The review form had space for qualitative and quantitative evaluation of the paper on nine aspects. The submitted reviews underwent an elaborate process. First, they were seen by the Area Chair, who resolved divergences of opinion among reviewers, if any. The Area Chair then wrote qualitative comments and a quantitative score along with his/her initial recommendation on the paper. These were looked at by Program Co-chairs and compiled into a probables list. The Area Chairs and Program Co-chairs met in Beijing during ICCV to discuss this list and arrivedat the ?nal list of 64 oral papers and 128 posters. Naturally, many deserving papers could not be accommodated

Spis treści

Camera Calibration.- On Using Silhouettes for Camera Calibration.- Towards a Guaranteed Solution to Plane-Based Self-calibration.- Plane-Based Calibration and Auto-calibration of a Fish-Eye Camera.- Stereo and Pose.- Stereo Matching Using Iterated Graph Cuts and Mean Shift Filtering.- Augmented Stereo Panoramas.- A Local Basis Representation for Estimating Human Pose from Cluttered Images.- Alignment of 3D Models to Images Using Region-Based Mutual Information and Neighborhood Extended Gaussian Images.- Texture.- The Eigen-Transform and Applications.- Edge-Model Based Representation of Laplacian Subbands.- Fusion of Texture Variation and On-Line Color Sampling for Moving Object Detection Under Varying Chromatic Illumination.- Combining Microscopic and Macroscopic Information for Rotation and Histogram Equalization Invariant Texture Classification.- Poster Session 1.- Gaussian Decomposition for Robust Face Recognition.- Occlusion Invariant Face Recognition Using Selective LNMF Basis Images.- Two-Dimensional Fisher Discriminant Analysis and Its Application to Face Recognition.- Combining Geometric and Gabor Features for Face Recognition.- Complex Activity Representation and Recognition by Extended Stochastic Grammar.- Recognize Multi-people Interaction Activity by PCA-HMMs.- Object Recognition Through the Principal Component Analysis of Spatial Relationship Amongst Lines.- Shift-Invariant Image Denoising Using Mixture of Laplace Distributions in Wavelet-Domain.- Blind Watermarking Via Pixel Modification with Regular Rule.- Surface Interpolation by Adaptive Neuro-fuzzy Inference System Based Local Ordinary Kriging.- PCA-Based Recognition for Efficient Inpainting.- Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning.- Image Segmentation That Merges Together Boundary and Region Information.- Extraction of Main Urban Roads from High Resolution Satellite Images by Machine Learning.- Texture Classification Using a Novel, Soft-Set Theory Based Classification Algorithm.- Learning Multi-category Classification in Bayesian Framework.- Estimation of Structural Information Content in Images.- Automatic Moving Object Segmentation with Accurate Boundaries.- A Bottom up Algebraic Approach to Motion Segmentation.- A Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling.- Motion Detection in Driving Environment Using U-V-Disparity.- Visual Surveillance Using Less ROIs of Multiple Non-calibrated Cameras.- A Novel Robust Statistical Method for Background Initialization and Visual Surveillance.- Exemplar-Based Human Contour Tracking.- Tracking Targets Via Particle Based Belief Propagation.- Multiple-Person Tracking Using a Plan-View Map with Error Estimation.- Extrinsic Camera Parameter Estimation Based-on Feature Tracking and GPS Data.- A Method for Calibrating a Motorized Object Rig.- Calibration of Rotating Line Camera for Spherical Imaging.- Viewpoint Determination of Image by Interpolation over Sparse Samples.- Inverse Volume Rendering Approach to 3D Reconstruction from Multiple Images.- Gaze Direction Estimation with a Single Camera Based on Four Reference Points and Three Calibration Images.- 3D Shape Recovery of Smooth Surfaces: Dropping the Fixed Viewpoint Assumption.- Stereo Matching by Interpolation.- Novel View Synthesis Using Locally Adaptive Depth Regularization.- View Synthesis of Scenes with Multiple Independently Translating Objects from Uncalibrated Views.- Generating Free Viewpoint Images from Mutual Projection of Cameras.- Video Synthesis with High Spatio-Temporal Resolution Using Motion Compensation and Image Fusion in Wavelet Domain.- Estimating Illumination Parameters in Real Space with Application to Image Relighting.- An Efficient Real Time Low Bit Rate Video Codec.- Employing a Fish-Eye for Scene Tunnel Scanning.- Automatically Building 2D Statistical Shapes Using the Topology Preservation Model GNG.- Semi-metric Space: A New Approach to Treat Orthogonality and Parallelism.- Face Recognition.- Boosting Multi-gabor Subspaces for Face Recognition.- A New Distance Criterion for Face Recognition Using Image Sets.- Face-Voice Authentication Based on 3D Face Models.- Face Recognition Under Varying Illumination Based on MAP Estimation Incorporating Correlation Between Surface Points.- Exploring Facial Expression Effects in 3D Face Recognition Using Partial ICP.- Vision Based Speech Animation Transferring with Underlying Anatomical Structure.- Variational Methods.- A Level Set Approach for Shape Recovery of Open Contours.- Statistical Shape Models Using Elastic-String Representations.- Minimal Weighted Local Variance as Edge Detector for Active Contour Models.- A New Active Contour Model: Curvature Gradient Vector Flow.- Dynamic Open Contours Using Particle Swarm Optimization with Application to Fluid Interface Extraction.- Attractor-Guided Particle Filtering for Lip Contour Tracking.- Tracking.- Tracking with the Kinematics of Extremal Contours.- Multiregion Level Set Tracking with Transformation Invariant Shape Priors.- Multi-view Object Tracking Using Sequential Belief Propagation.- Online Updating Appearance Generative Mixture Model for Meanshift Tracking.- Geometry and Calibration.- Theory and Calibration for Axial Cameras.- Error Characteristics of SFM with Erroneous Focal Length.- Interpreting Sphere Images Using the Double-Contact Theorem.- New 3D Fourier Descriptors for Genus-Zero Mesh Objects.- Lighting and Focus.- High Dynamic Range Global Mosaic.- Image-Based Calibration of Spatial Domain Depth-from-Defocus and Application to Automatic Focus Tracking.- Effects of Image Segmentation for Approximating Object Appearance Under Near Lighting.- Fast Feature Extraction Using Approximations to Derivatives with Summed-Area Images.- Poster Session 2.- Detecting Faces from Low-Resolution Images.- Human Distribution Estimation Using Shape Projection Model Based on Multiple-Viewpoint Observations.- Modelling the Effect of View Angle Variation on Appearance-Based Gait Recognition.- Gesture Recognition Using Quadratic Curves.- From Motion Patterns to Visual Concepts for Event Analysis in Dynamic Scenes.- Probabilistic Modeling for Structural Change Inference.- Robust Occluded Shape Recognition.- Interactive Contour Extraction Using NURBS-HMM.- Learning Parameter Tuning for Object Extraction.- Region-Level Motion-Based Foreground Detection with Shadow Removal Using MRFs.- Waterfall Segmentation of Complex Scenes.- Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes.- Separation of Reflection and Transparency Using Epipolar Plane Image Analysis.- Fast Approximated SIFT.- Image Matching by Multiscale Oriented Corner Correlation.- Surface Registration Using Extended Polar Maps.- Multiple Range Image Registration by Matching Local Log-Polar Range Images.- Incremental Mesh-based Integration of Registered Range Images: Robust to Registration Error and Scanning Noise.