This book includes selected papers from the first International Conferences on Computer Vision Theory and Applications (VISAPP), and Computer Graphics Theory and Applications (GRAPP), jointly held in Setubal, Portugal, on February 25–28, 2006.

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 StereoMatching 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.