Advertisement

Theoretical Foundations of Computer Vision

  • W. Kropatsch
  • R. Klette
  • F. Solina
  • R. Albrecht

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

Table of contents

About these proceedings

Introduction

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.

Keywords

Diffusion Likelihood Virtual Reality algorithms anisotropic diffusion calculus cognition combinatorial geometry computer vision heuristics image compression image processing mathematical morphology robot robotics

Editors and affiliations

  • W. Kropatsch
    • 1
  • R. Klette
    • 2
  • F. Solina
    • 3
  • R. Albrecht
    • 4
  1. 1.Institute for Pattern Recognition and Image ProcessingTechnical University ViennaAustria
  2. 2.Computer Science DepartmentTechnical University at BerlinGermany
  3. 3.Faculty of Electrical Engineering and Computer ScienceUniversity of LjubljanaSlovenia
  4. 4.Institute for InformaticsUniversity of InnsbruckAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7091-6586-7
  • Copyright Information Springer-Verlag/Wien 1996
  • Publisher Name Springer, Vienna
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-211-82730-7
  • Online ISBN 978-3-7091-6586-7
  • Series Print ISSN 0344-8029
  • Buy this book on publisher's site