Cognitive Vision Systems : Sampling the Spectrum of Approaches / edited by Henrik I. Christensen, Hans-Hellmut Nagel.

Format:

Book

Contributor:

Christensen, H. I. (Henrik I.), 1962- editor.

Nagel, H. H., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 3948.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 3948

Language:

English

Subjects (All):

Optical data processing.

Artificial intelligence.

Pattern perception.

Computer graphics.

Algorithms.

Image Processing and Computer Vision.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Pattern Recognition.

Computer Graphics.

Algorithm Analysis and Problem Complexity.

Local Subjects:

Image Processing and Computer Vision.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Pattern Recognition.

Computer Graphics.

Algorithm Analysis and Problem Complexity.

Physical Description:

1 online resource (VIII, 372 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Summary:

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.

Contents:

Introductory Remarks

Introductory Remarks

I Foundations of Cognitive Vision Systems

The Space of Cognitive Vision

Cognitive Vision Needs Attention to Link Sensing with Recognition

Organization of Architectures for Cognitive Vision Systems

Cognitive Vision Systems: From Ideas to Specifications

II Recognition and Categorization

A System for Object Class Detection

Greedy Kernel Principal Component Analysis

Many-to-Many Feature Matching in Object Recognition

Integrating Video Information over Time. Example: Face Recognition from Video

Interleaving Object Categorization and Segmentation

III Learning and Adaptation

Learning an Analysis Strategy for Knowledge-Based Exploration of Scenes

IV Representation and Inference

Things That See: Context-Aware Multi-modal Interaction

Hierarchies Relating Topology and Geometry

Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision

On Scene Interpretation with Description Logics

V Control and Systems Integration

A Framework for Cognitive Vision Systems or Identifying Obstacles to Integration

Visual Capabilities in an Interactive Autonomous Robot

VI Conclusions

On Sampling the Spectrum of Approaches Toward Cognitive Vision Systems.

Other Format:

Printed edition:

ISBN:

978-3-540-33972-4

9783540339724

Access Restriction:

Restricted for use by site license.