Cognitive Vision Systems Sampling the Spectrum of Approaches /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Christensen, Henrik I. (Επιμελητής έκδοσης), Nagel, Hans-Hellmut (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Σειρά: Lecture Notes in Computer Science, 3948
• Θέματα: Computer science.; Algorithms.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Computer Graphics.; Algorithm Analysis and Problem Complexity.

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 bas...

Πίνακας περιεχομένων:

• 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.