Advances in Computer Graphics and Computer Vision: International Conferences Visapp and Grapp 2006, Set?al, Portugal, February 25-28, 2006, Revised S (Paperback, 2007)

Invited Paper.- Mesh Editing Based on Discrete Laplace and Poisson Models.- I: Geometry and Modeling.- Efficient Rendering of High-Detailed Objects Using a Reduced Multi-resolution Hierarchy.- Mesh Retrieval by Components.- Terrain Synthesis By-Example.- Collaboration on Scene Graph Based 3D Data.- II: Rendering.- A Progressive Refinement Approach for the Visualisation of Implicit Surfaces.- Diffusion Based Photon Mapping.- An Incremental Weighted Least Squares Approach to Surface Lights Fields.- III: Animation and Simulation.- Motion Map Generation for Maintaining the Temporal Coherence of Brush Strokes.- IV: Interactive Environments.- Distributed 3D Information Visualization - Towards Integration of the Dynamic 3D Graphics and Web Services.- Interactive Editing of Live Visuals.- V: Image Formation and Processing.- Tolerance-Based Feature Transforms.- A Unified Theory for Steerable and Quadrature Filters.- VI: Image Analysis.- Generalised Principal Component Analysis: Exploiting Inherent Parameter Constraints.- Ellipse Detection in Digital Image Data Using Geometric Features.- A Comparison of Wavelet-Based and Ridgelet-Based Texture Classification of Tissues in Computed Tomography.- Color Segmentation of Complex Document Images.- Improved Reconstruction of Images Distorted by Water Waves.- VII: Image Understanding.- Pose Estimation Using Structured Light and Harmonic Shape Contexts.- Cognitive Vision and Perceptual Grouping by Production Systems with Blackboard Control - An Example for High-Resolution SAR-Images.- Occlusion Invariant Face Recognition Using Two-Dimensional PCA.- Multidirectional Face Tracking with 3D Face Model and Learning Half-Face Template.- Representing Directions for Hough Transforms.- VIII: Motion, Tracking and Stereo Vision.- Dense Stereo Matching with Growing Aggregation and Neural Learning.- Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data.- 3D Tracking Using 2D-3D Line Segment Correspondence and 2D Point Motion.- Vision-Based Tracking System for Head Motion Correction in FMRI Images.- Learning Nonlinear Manifolds of Dynamic Textures.