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Advances in Computer Vision

  • Conference proceedings
  • © 1997

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Editors:
  1. Franc Solina

    1. Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

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  2. Walter G. Kropatsch

    1. Abt. Mustererkennung und Bildverarbeitung, TU Wien, Vienna, Austria

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  3. Reinhard Klette

    1. Computer Science Department, Auckland University, Auckland, New Zealand

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  4. Ruzena Bajcsy

    1. Computer and Information Science, GRASP Laboratory, University of Pennsylvania, Philadelphia, USA

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  • This second Dagstuhl meeting presents the state-of-art in Computer vision

Part of the book series: Advances in Computing Sciences (ACS)

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About this book

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).

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Table of contents (26 papers)

  1. Front Matter

    Pages I-VIII
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  2. A semidiscrete nonlinear scale-space theory and its relation to the Perona—Malik paradox

    • Joachim Weickert, Brahim Benhamouda
    Pages 1-10

  3. Topological approach to mathematical morphology

    • Ulrich Eckhardt, Eckart Hundt
    Pages 11-20

  4. Segmentation by watersheds: definition and parallel implementation

    • Jos B. T. M. Roerdink, Arnold Meijster
    Pages 21-30

  5. A graph network for image segmentation

    • Herbert Jahn
    Pages 31-40

  6. Associative memory for images by recurrent neural subnetworks

    • Władysław Skarbek
    Pages 41-50

  7. Optimal models for visual recognition

    • Matevž Kovačič, Bojan Kverh, Franc Solina
    Pages 51-60

  8. Order of points on a line segment

    • Atsushi Imiya
    Pages 61-70

  9. Subjective contours detection

    • Souheil Ben-Yacoub
    Pages 71-77

  10. Texture feature based interaction maps: potential and limits

    • Dmitry Chetverikov
    Pages 79-88

  11. Non-Markov Gibbs image model with almost local pairwise pixel interactions

    • Georgy L. Gimel’farb
    Pages 89-98

  12. Equivalent contraction kernels to build dual irregular pyramids

    • Walter G. Kropatsch
    Pages 99-107

  13. Towards a generalized primal sketch

    • Christophe Duperthuy, Jean-Michel Jolion
    Pages 109-118

  14. Categorization through temporal analysis of patterns

    • Jean-Michel Jolion
    Pages 119-128

  15. Detection of regions of interest via the Pyramid Discrete Symmetry Transform

    • Vito Di Gesú, Cesare Valenti
    Pages 129-136

  16. Dense depth maps by active color illumination and image pyramids

    • Andreas Koschan, Volker Rodehorst
    Pages 137-148

  17. Local and global integration of discrete vector fields

    • Karsten Schlüns, Reinhard Klette
    Pages 149-158

  18. A new approach to shape from shading

    • Vladimir A. Kovalevsky
    Pages 159-167

  19. Recent uniqueness results in shape from shading

    • Ryszard Kozera
    Pages 169-179

  20. Computation of time-varying motion and structure parameters from real image sequences

    • John L. Barron, Roy Eagleson
    Pages 181-190
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Editors and Affiliations

  • Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

    Franc Solina

  • Abt. Mustererkennung und Bildverarbeitung, TU Wien, Vienna, Austria

    Walter G. Kropatsch

  • Computer Science Department, Auckland University, Auckland, New Zealand

    Reinhard Klette

  • Computer and Information Science, GRASP Laboratory, University of Pennsylvania, Philadelphia, USA

    Ruzena Bajcsy

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