Theoretical Foundations of Computer Vision

✍ Scribed by Dr. K. Daniilidis (auth.), Prof. Dr. W. Kropatsch, Prof. Dr. R. Klette, Prof. Dr. F. Solina, Prof. Dr. R. Albrecht (eds.)

• Publisher: Springer-Verlag Wien
• Year: 1996
• Tongue: English
• Leaves: 259
• Series: Computing Supplement 11
• Edition: 1
• Category: Library

✦ Synopsis

Computer Vision is a rapidly growing field of research investigating computational and algorithmic issues associated with image acquisition, processing, and understanding. It serves tasks like manipulation, recognition, mobility, and communication in diverse application areas such as manufacturing, robotics, medicine, security and virtual reality. This volume contains a selection of papers devoted to theoretical foundations of computer vision covering a broad range of fields, e.g. motion analysis, discrete geometry, computational aspects of vision processes, models, morphology, invariance, image compression, 3D reconstruction of shape. Several issues have been identified to be of essential interest to the community: non-linear operators; the transition between continuous to discrete representations; a new calculus of non-orthogonal partially dependent systems.

✦ Table of Contents

Front Matter....Pages i-vii
Attentive Visual Motion Processing: Computations in the Log-Polar Plane....Pages 1-20
Invariant Thinning and Distance Transform....Pages 21-36
Recognition of Images Degraded by Linear Motion Blur without Restoration....Pages 37-51
Symmetric Bi- and Trinocular Stereo: Tradeoffs between Theoretical Foundations and Heuristics....Pages 53-71
Surface from Motion—without and with Calibration....Pages 73-98
Properties of Pyramidal Representations....Pages 99-111
A Robust Approach to Estimation of Parametric Models....Pages 113-130
Computer Vision and Mathematical Morphology....Pages 131-148
A Variational Approach to the Design of Early Vision Algorithms....Pages 149-165
Banach Constructor and Image Compression....Pages 167-182
Piecewise Linear Approximation of Planar Jordan Curves and Arcs: Theory and Applications....Pages 183-199
Segmentation with Volumetric Part Models....Pages 201-220
Theoretical Foundations of Anisotropic Diffusion in Image Processing....Pages 221-236
Stability and Likelihood of Views of Three Dimensional Objects....Pages 237-256
Back Matter....Pages 257-259

✦ Subjects

Image Processing and Computer Vision; Pattern Recognition; Artificial Intelligence (incl. Robotics); Combinatorics; Differential Geometry; Statistics, general