LEADER 05782nam 22007455 450 001 996465931303316 005 20200705085836.0 010 $a3-540-33972-8 024 7 $a10.1007/11414353 035 $a(CKB)1000000000232955 035 $a(SSID)ssj0000316668 035 $a(PQKBManifestationID)11261422 035 $a(PQKBTitleCode)TC0000316668 035 $a(PQKBWorkID)10275167 035 $a(PQKB)10083858 035 $a(DE-He213)978-3-540-33972-4 035 $a(MiAaPQ)EBC3067698 035 $a(PPN)123134331 035 $a(EXLCZ)991000000000232955 100 $a20101222d2006 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aCognitive Vision Systems$b[electronic resource] $eSampling the Spectrum of Approaches /$fedited by Henrik I. Christensen, Hans-Hellmut Nagel 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (VIII, 372 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v3948 300 $a"This volume is a post-event proceedings volume and contains selected papers based on the presentations given, and lively discussions that ensued, during a seminar held in Dagstuhl Castle, Germany, on October 2003"--p. [4] of cover. 311 $a3-540-33971-X 320 $aIncludes bibliographical references and indexes. 327 $aIntroductory 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. 330 $aDuring the last decade of the twentieth century, computer vision made considerable progress towards the consolidation of its fundaments, in particular regarding the treatment of geometry for the evaluation of stereo image pairs and of multi-view image recordings. Scientists thus began to look at basic computer vision solutions - irrespective of the well-perceived need to perfection these further - as components which should be explored in a larger context. This volume is a post-event proceedings volume and contains selected papers based on the presentations given, and the lively discussions that ensued, during a seminar held in Dagstuhl Castle, Germany, in October 2003. Co-sponsored by ECVision, the cognitive vision network of excellence, it was organized to further strengthen cooperation between research groups from different countries, and scientists active in related areas were invited from around the world. The 18 thoroughly revised papers presented are organized in topical sections on foundations of cognitive vision systems, recognition and categorization, learning and adaptation, representation and inference, control and systems integration, and conclusions. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v3948 606 $aOptical data processing 606 $aArtificial intelligence 606 $aPattern recognition 606 $aComputer graphics 606 $aAlgorithms 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aPattern recognition. 615 0$aComputer graphics. 615 0$aAlgorithms. 615 14$aImage Processing and Computer Vision. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aComputer Graphics. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a006.3/7 702 $aChristensen$b Henrik I$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNagel$b Hans-Hellmut$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465931303316 996 $aCognitive Vision Systems$9771903 997 $aUNISA