Overview

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. We received 314 paper submissions for both conferences, quite a high number for a first venue. We had contributions from 44 different countries covering all five continents, which confirms the success and global reach of the two conferences. After a rigorous double-blind review, a total of 116 submissions were accepted as full papers. From those, the Program Committee selected 27 for publication in this book, which were then revised by the authors. Special thanks are due to all contributors and referees, without whom this book would not have been possible. VISAPP/GRAPP 2006 included four invited keynote lectures, presented by internationally recognized researchers. The presentations represented an important contribution to increasing the overall quality of the conference. We would like to express our appreciation to all invited keynote speakers, in alphabetical order, Marc Alexa (TU Berlin/Germany), André Gagalowicz (INRIA/France), Ken Perlin (New York University/USA), Peter Robinson (University of Cambridge/UK), whose presentations are partially included in the first section of the book. The second and third sections include selected papers from VISAPP 2006 and GRAPP 2006 respectively.

Full Product Details

Author:   José Braz ,  Alpesh Ranchordas ,  Helder Araújo ,  Joaquim Jorge
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2007 ed.
Volume:   4
Dimensions:   Width: 15.50cm , Height: 2.40cm , Length: 23.50cm
Weight:   0.652kg
ISBN:  

9783540752721

ISBN 10:   3540752722
Pages:   407
Publication Date:   12 November 2007
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

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.

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