Cognitive Vision Systems

Sampling the Spectrum of Approaches

  • Henrik I. Christensen
  • Hans-Hellmut Nagel
Conference proceedings

DOI: 10.1007/11414353

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3948)

Table of contents (18 papers)

  1. Front Matter
  2. Introductory Remarks

    1. Introductory Remarks
      H. I. Christensen, H. -H. Nagel
      Pages 1-4
  3. Part I Foundations of Cognitive Vision Systems

  4. Part II Recognition and Categorization

    1. Front Matter
      Pages 71-71
    2. A System for Object Class Detection
      Daniela Hall
      Pages 73-85
    3. Greedy Kernel Principal Component Analysis
      Vojtěch Franc, Václav Hlaváč
      Pages 87-105
    4. Many-to-Many Feature Matching in Object Recognition
      Ali Shokoufandeh, Yakov Keselman, Fatih Demirci, Diego Macrini, Sven Dickinson
      Pages 107-125
    5. Integrating Video Information over Time. Example: Face Recognition from Video
      Volker Krüger, Shaohua Zhou, Rama Chellappa
      Pages 127-144
    6. Interleaving Object Categorization and Segmentation
      Bastian Leibe, Bernt Schiele
      Pages 145-161
  5. Part III Learning and Adaptation

    1. Front Matter
      Pages 163-163
    2. Learning an Analysis Strategy for Knowledge-Based Exploration of Scenes
      H. Niemann, U. Ahlrichs, D. Paulus
      Pages 165-180
  6. Part IV Representation and Inference

    1. Front Matter
      Pages 181-181
    2. Hierarchies Relating Topology and Geometry
      Walter G. Kropatsch, Yll Haxhimusa, Pascal Lienhardt
      Pages 199-220
    3. Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision
      A. G. Cohn, D. C. Hogg, B. Bennett, V. Devin, A. Galata, D. R. Magee et al.
      Pages 221-246
    4. On Scene Interpretation with Description Logics
      Bernd Neumann, Ralf Möller
      Pages 247-275

About these proceedings

Introduction

During the last decade of the twentieth century, computer vision made considerable progress towards the consolidation of its fundaments, in particular regarding the treatment of geometry for the evaluation of stereo image pairs and of multi-view image recordings. Scientists thus began to look at basic computer vision solutions - irrespective of the well-perceived need to perfection these further - as components which should be explored in a larger context.

This volume is a post-event proceedings volume and contains selected papers based on the presentations given, and the lively discussions that ensued, during a seminar held in Dagstuhl Castle, Germany, in October 2003. Co-sponsored by ECVision, the cognitive vision network of excellence, it was organized to further strengthen cooperation between research groups from different countries, and scientists active in related areas were invited from around the world.

The 18 thoroughly revised papers presented are organized in topical sections on foundations of cognitive vision systems, recognition and categorization, learning and adaptation, representation and inference, control and systems integration, and conclusions.

Keywords

Computer Vision autonom classification cognition cognitive agents cognitive computer vision cognitive systems computational attention computer vision systems description logics direct learning image processing learning robot sensing

Editors and affiliations

  • Henrik I. Christensen
    • 1
  • Hans-Hellmut Nagel
    • 2
  1. 1.GVU Center & School of Interactive Computing, College of ComputingGeorgia Institute of TechnologyAtlantaUSA
  2. 2.Institut für Algorithmen und Kognitive Systeme, Fakultät für InformatikUniversität Karlsruhe (TH)KarlsruheGermany

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-33971-7
  • Online ISBN 978-3-540-33972-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349