Nikos Paragios

Olivier Faugeras

Tony Chan

Christoph Schnoerr

This book constitutes the refereed proceedings of the Third International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2005, held in Beijing, China in October 2005 within the scope of ICCV 2005, the International Conference on Computer Vision. The 30 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections and sub-sections as follows: image filtering and reconstruction - image enhancement, inpainting and compression; segmentation and grouping - model-free and model-based segmentation; registration and motion analysis - registration of curves and images, multi-frame segmentation; 3D and reconstruction - computational processes in manifolds, shape from shading, calibration and stereo reconstruction.

Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings

Variational, Geometric, and Level Set Methods in Computer Vision

Zhengyou Zhang

he problem of analyzing sequences of images to extract three-dimensional T motion and structure has been at the heart of the research in computer vi sion for many years. It is very important since its success or failure will determine whether or not vision can be used as a sensory process in reactive systems. The considerable research interest in this field has been motivated at least by the following two points: 1. The redundancy of information contained in time-varying images can over come several difficulties encountered in interpreting a single image. 2. There are a lot of important applications including automatic vehicle driv ing, traffic control, aerial surveillance, medical inspection and global model construction. However, there are many new problems which should be solved: how to effi ciently process the abundant information contained in time-varying images, how to model the change between images, how to model the uncertainty inherently associated with the imaging system and how to solve inverse problems which are generally ill-posed. There are of course many possibilities for attacking these problems and many more remain to be explored. We discuss a few of them in this book based on work carried out during the last five years in the Computer Vision and Robotics Group at INRIA (Institut National de Recherche en Informatique et en Automatique).

A Stereo Based Approach

3D Dynamic Scene Analysis

OLIVIER AUTOR FAUGERAS

This monograph by one of the world's leading vision researchers provides a thorough,mathematically rigorous exposition of a broad and vital area in computer vision: the problems andtechniques related to three-dimensional (stereo) vision and motion. The emphasis is on usinggeometry to solve problems in stereo and motion, with examples from navigation and objectrecognition.Faugeras takes up such important problems in computer vision as projective geometry,camera calibration, edge detection, stereo vision (with many examples on real images), differentkinds of representations and transformations (especially 3-D rotations), uncertainty and methods ofaddressing it, and object representation and recognition. His theoretical account is illustratedwith the results of actual working programs.Three-Dimensional Computer Vision proposes solutions toproblems arising from a specific robotics scenario in which a system must perceive and act. Movingabout an unknown environment, the system has to avoid static and mobile obstacles, build models ofobjects and places in order to be able to recognize and locate them, and characterize its own motionand that of moving objects, by providing descriptions of the corresponding three-dimensionalmotions. The ideas generated, however, can be used indifferent settings, resulting in a general bookon computer vision that reveals the fascinating relationship of three-dimensional geometry and theimaging process.Olivier Faugeras is Research Director of the Computer Vision and Robotics Laboratoryat INRIA Sophia-Antipolis and a Professor of Applied Mathematics at the Ecole Polytechnique inParis.

A Geometric Viewpoint

Three-dimensional Computer Vision

Olivier Faugeras

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