CogVis03
* *Cognitive Vision Systems
* Cognitive Vision Needs Attention to Link Sensing with Recognition
* Cognitive Vision Systems: From Ideas to Specifications
* Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision
* Framework for Cognitive Vision Systems or Identifying Obstacles to Integration, A
* Greedy Kernel Principal Component Analysis
* Hierarchies Relating Topology and Geometry
* Integrating Video Information over Time. Example: Face Recognition from Video
* Interleaving Object Categorization and Segmentation
* Learning an Analysis Strategy for Knowledge-Based Exploration of Scenes
* Many-to-Many Feature Matching in Object Recognition
* On Sampling the Spectrum of Approaches Toward Cognitive Vision Systems
* On scene interpretation with description logics
* Organization of Architectures for Cognitive Vision Systems
* Space of Cognitive Vision, The
* System for Object Class Detection, A
* Things That See: Context-Aware Multi-modal Interaction
* Visual Capabilities in an Interactive Autonomous Robot
18 for CogVis03
CogVis08
* *Cognitive Vision Systems
* Entropy-Based Approach to the Hierarchical Acquisition of Perception-Action Capabilities, An
* Epipolar Geometry for Humanoid Robotic Heads
* Face Recognition with Biologically Motivated Boosted Features
* Monitoring Activities of Daily Living (ADLs) of Elderly Based on 3D Key Human Postures
* New Method for Synthetic Face Generation Using Spline Curves, A
* Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace
* Probabilistic Pose Recovery Using Learned Hierarchical Object Models
* Remembering Pictures of Real-World Images Using Eye Fixation Sequences in Imagery and in Recognition
* Role of Implicit Context Information in Guiding Visual-Spatial Attention, The
* Semantic Reasoning for Scene Interpretation
* Towards a Model of Information Seeking by Integrating Visual, Semantic and Memory Maps
12 for CogVis08