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Theoretical Foundations of Computer Vision

  • Conference proceedings
  • © 1996

Overview

Editors:
  1. W. Kropatsch

    1. Institute for Pattern Recognition and Image Processing, Technical University Vienna, Austria

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  2. R. Klette

    1. Computer Science Department, Technical University at Berlin, Germany

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  3. F. Solina

    1. Faculty of Electrical Engineering and Computer Science, University of Ljubljana, Slovenia

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  4. R. Albrecht

    1. Institute for Informatics, University of Innsbruck, Austria

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Part of the book series: Computing Supplementa (COMPUTING, volume 11)

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Table of contents (14 papers)

  1. Front Matter

    Pages i-vii
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  2. Attentive Visual Motion Processing: Computations in the Log-Polar Plane

    • K. Daniilidis
    Pages 1-20

  3. Invariant Thinning and Distance Transform

    • U. Eckhardt, L. Latecki
    Pages 21-36

  4. Recognition of Images Degraded by Linear Motion Blur without Restoration

    • J. Flusser, T. Suk, S. Saic
    Pages 37-51

  5. Symmetric Bi- and Trinocular Stereo: Tradeoffs between Theoretical Foundations and Heuristics

    • G. L. Gimel’farb
    Pages 53-71

  6. Surface from Motion—without and with Calibration

    • R. Klette
    Pages 73-98

  7. Properties of Pyramidal Representations

    • W. G. Kropatsch
    Pages 99-111

  8. A Robust Approach to Estimation of Parametric Models

    • A. Leonardis
    Pages 113-130

  9. Computer Vision and Mathematical Morphology

    • J. B. T. M. Roerdink
    Pages 131-148

  10. A Variational Approach to the Design of Early Vision Algorithms

    • C. Schnörr, R. Sprengel, B. Neumann
    Pages 149-165

  11. Banach Constructor and Image Compression

    • W. Skarbek
    Pages 167-182

  12. Piecewise Linear Approximation of Planar Jordan Curves and Arcs: Theory and Applications

    • F. Sloboda, B. Zat’ko
    Pages 183-199

  13. Segmentation with Volumetric Part Models

    • F. Solina
    Pages 201-220

  14. Theoretical Foundations of Anisotropic Diffusion in Image Processing

    • J. Weickert
    Pages 221-236

  15. Stability and Likelihood of Views of Three Dimensional Objects

    • D. Weinshall, M. Werman, N. Tishby
    Pages 237-256

  16. Back Matter

    Pages 257-259
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Keywords

About this book

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.

Editors and Affiliations

  • Institute for Pattern Recognition and Image Processing, Technical University Vienna, Austria

    W. Kropatsch

  • Computer Science Department, Technical University at Berlin, Germany

    R. Klette

  • Faculty of Electrical Engineering and Computer Science, University of Ljubljana, Slovenia

    F. Solina

  • Institute for Informatics, University of Innsbruck, Austria

    R. Albrecht

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