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| 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 |
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