Cognitive Vision Systems Sampling the Spectrum of Approaches /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Christensen, Henrik I. (Editor ), Nagel, Hans-Hellmut (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 3948
Temas:
Computer vision.
Image processing-Digital techniques.
Artificial intelligence.
Pattern recognition systems.
Computer graphics.
Algorithms.
Computer Vision.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Artificial Intelligence.
Automated Pattern Recognition.
Computer Graphics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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