Advances in Computer Vision

  • Franc Solina
  • Walter G. Kropatsch
  • Reinhard Klette
  • Ruzena Bajcsy
Conference proceedings

Part of the Advances in Computing Science book series (ACS)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Ulrich Eckhardt, Eckart Hundt
    Pages 11-20
  3. Jos B. T. M. Roerdink, Arnold Meijster
    Pages 21-30
  4. Herbert Jahn
    Pages 31-40
  5. Matevž Kovačič, Bojan Kverh, Franc Solina
    Pages 51-60
  6. Atsushi Imiya
    Pages 61-70
  7. Souheil Ben-Yacoub
    Pages 71-77
  8. Christophe Duperthuy, Jean-Michel Jolion
    Pages 109-118
  9. Jean-Michel Jolion
    Pages 119-128
  10. Andreas Koschan, Volker Rodehorst
    Pages 137-148
  11. Karsten Schlüns, Reinhard Klette
    Pages 149-158
  12. Vladimir A. Kovalevsky
    Pages 159-167
  13. Steven S. Beauchemin, John L. Barron
    Pages 191-200
  14. Björn Krebs, Friedrich M. Wahl
    Pages 221-230
  15. Ruzena Bajcsy, Henrik I. Christensen, Jana Košecká
    Pages 241-250
  16. Gerald Sommer, Eduardo Bayro-Corrochano, Thomas Bülow
    Pages 251-260
  17. Back Matter
    Pages 261-266

About these proceedings


Computer vision solutions used to be very specific and difficult to adapt to different or even unforeseen situations. The current development is calling for simple to use yet robust applications that could be employed in various situations. This trend requires the reassessment of some theoretical issues in computer vision. A better general understanding of vision processes, new insights and better theories are needed. The papers selected from the conference staged in Dagstuhl in 1996 to gather scientists from the West and the former eastern-block countries address these goals and cover such fields as 2D images (scale space, morphology, segmentation, neural networks, Hough transform, texture, pyramids), recovery of 3-D structure (shape from shading, optical flow, 3-D object recognition) and how vision is integrated into a larger task-driven framework (hand-eye calibration, navigation, perception-action cycle).


Hough transform Image pyramid Image segmentation Optical flow calibration computer vision mathematical morphology navigation neural network object recognition pattern

Editors and affiliations

  • Franc Solina
    • 1
  • Walter G. Kropatsch
    • 2
  • Reinhard Klette
    • 3
  • Ruzena Bajcsy
    • 4
  1. 1.Faculty of Computer and Information ScienceUniversity of LjubljanaLjubljanaSlovenia
  2. 2.Abt. Mustererkennung und BildverarbeitungTU WienViennaAustria
  3. 3.Computer Science DepartmentAuckland UniversityAucklandNew Zealand
  4. 4.Computer and Information Science, GRASP LaboratoryUniversity of PennsylvaniaPhiladelphiaUSA

Bibliographic information