认知视觉系统LNCS-3948：Cognitive vision systems

　　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.

暂缺《认知视觉系统LNCS-3948：Cognitive vision systems》作者简介

1 Introductory Remarks
Part I Foundations of Cognitive Vision Systems
　2 The Space of Cognitive Vision
　3 Cognitive Vision Needs Attention to Link Sensing with Recognition
　4 Organization of Architectures for Cognitive Vision Systems
　5 Cognitive Vision Systems: From Ideas to Specifications
Part II Recognition and Categorization
　6 A System for Object Class Detection
　7 Greedy Kernel Principal Component Analysis
　8 Many-to-Many Feature Matching in Object Recognition
　9 Integrating Video Information over Time. Example: Face Recognition from Video
　10 Interleaving Object Categorization and Segmentation
Part Ill Learning and Adaptation
　11 Learning an Analysis Strategy for Knowledge-Based Exploration of Scenes
Part IV Representation and Inference
　12 Things That See: Context-Aware Multi-modal Interaction
　13 Hierarchies Relating Topology and Geometry
　14 Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision
　15 On Scene Interpretation with Description Logics
Part V Control and Systems Integration
　16 A Framework for Cognitive Vision Systems or Identifying Obstacles to Integration
　17 Visual Capabilities in an Interactive Autonomous Robot
Part VI Conclusions
　18 On Sampling the Spectrum of Approaches Toward Cognitive Vision　Systems
Part VII References, Subject Index, Author Index
References
Subject Index
Author Index