Cognitive Vision Systems

- 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