Cognitive Vision Systems: Sampling the Spectrum of Approaches

by Henrik I. Christensen (Editor), Hans-Hellmut Nagel (Editor)

Overview

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 working in the field of cognitive vision systems.

Product Details

ISBN-13:	9783540339717
Publisher:	Springer Berlin Heidelberg
Publication date:	07/28/2006
Series:	Lecture Notes in Computer Science , #3948
Edition description:	2006
Pages:	372
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of 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.