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Cognitive Vision Systems

Sampling the Spectrum of Approaches

  • Book
  • © 2006

Overview

Editors:
  1. Henrik I. Christensen

    1. GVU Center & School of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, USA

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  2. Hans-Hellmut Nagel

    1. Institut für Algorithmen und Kognitive Systeme, Fakultät für Informatik, Universität Karlsruhe (TH), Karlsruhe, Germany

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

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

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Table of contents (18 chapters)

  1. Front Matter

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  2. Introductory Remarks

    1. Introductory Remarks

      • H. I. Christensen, H. -H. Nagel
      Pages 1-4

  3. Part I Foundations of Cognitive Vision Systems

    1. Front Matter

      Pages 5-5
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    2. The Space of Cognitive Vision

      • David Vernon
      Pages 7-24

    3. Cognitive Vision Needs Attention to Link Sensing with Recognition

      • John K. Tsotsos
      Pages 25-35

    4. Organization of Architectures for Cognitive Vision Systems

      • Goesta H. Granlund
      Pages 37-55

    5. Cognitive Vision Systems: From Ideas to Specifications

      • H. -H. Nagel
      Pages 57-69

  4. Part II Recognition and Categorization

    1. Front Matter

      Pages 71-71
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    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
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    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
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    2. Things That See: Context-Aware Multi-modal Interaction

      • James L. Crowley
      Pages 183-198

    3. Hierarchies Relating Topology and Geometry

      • Walter G. Kropatsch, Yll Haxhimusa, Pascal Lienhardt
      Pages 199-220

    4. 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

    5. On Scene Interpretation with Description Logics

      • Bernd Neumann, Ralf Möller
      Pages 247-275
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Keywords

About this book

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.

Editors and Affiliations

  • GVU Center & School of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, USA

    Henrik I. Christensen

  • Institut für Algorithmen und Kognitive Systeme, Fakultät für Informatik, Universität Karlsruhe (TH), Karlsruhe, Germany

    Hans-Hellmut Nagel

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