Data fusion for sensory information processing systems / James J. Clark (1990)

Public ISBD Titre : Data fusion for sensory information processing systems Type de document : texte imprimé Auteurs : James J. Clark, Auteur ; Alan L. Yuille, Auteur Editeur : Boston : Kluwer academic publishers Année de publication : 1990 Collection : The kluwer international series in engineering and computer science Sous-collection : Robotics: vision, manipulation and sensors num. 105 Importance : XVIII-242 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-0-7923-9120-3 Note générale : Bibliogr. p. 223-238. Index Langues : Anglais (eng) Mots-clés : Computer vision Image processing Multisensor data fusion Vision par ordinateur Traitement d'images Fusion multicapteurs Index. décimale : 681.3.02 Conception,construction et structures des systèmes machines et éléments de traitement de données.(Conception des systèmes) Résumé : Data fusion for sensory information processing systems provides a mathematical foundation upon which data fusion algorithms can be constructed and analyzed. The methodology presented in this text is motivated by a strong belief in the importance of constraints in sensory information processing systems. In this view, data fusion is best understood as the embedding of multiple constraints on the solution to a sensory information processing problem into the solution process. Note de contenu : Contents: 1. Introduction: The Role of Data Fusion in Sensory Systems. 2. Bayesian Sensory Information Processing. 3. Information Processing Using Energy Function Minimization. 4. Weakly vs. Strongly Coupled Data Fusion: A Classification of Fusional Methods. 5. Data Fusion Applied to Feature Based Stereo Algorithms. 6. Fusing Binocular and Monocular Depth Cues. 7. Data Fusion in Shape from Shading Algorithms. 8. Temporal Aspects of Data Fusion. 9. Towards a Constraint Based Theory of Sensory Data Fusion. Data fusion for sensory information processing systems [texte imprimé] / James J. Clark, Auteur ; Alan L. Yuille, Auteur . - Boston : Kluwer academic publishers, 1990 . - XVIII-242 p. : ill. ; 25 cm. - (The kluwer international series in engineering and computer science. Robotics: vision, manipulation and sensors; 105) . ISBN : 978-0-7923-9120-3 Bibliogr. p. 223-238. Index Langues : Anglais (eng) Mots-clés : Computer vision Image processing Multisensor data fusion Vision par ordinateur Traitement d'images Fusion multicapteurs Index. décimale : 681.3.02 Conception,construction et structures des systèmes machines et éléments de traitement de données.(Conception des systèmes) Résumé : Data fusion for sensory information processing systems provides a mathematical foundation upon which data fusion algorithms can be constructed and analyzed. The methodology presented in this text is motivated by a strong belief in the importance of constraints in sensory information processing systems. In this view, data fusion is best understood as the embedding of multiple constraints on the solution to a sensory information processing problem into the solution process. Note de contenu : Contents: 1. Introduction: The Role of Data Fusion in Sensory Systems. 2. Bayesian Sensory Information Processing. 3. Information Processing Using Energy Function Minimization. 4. Weakly vs. Strongly Coupled Data Fusion: A Classification of Fusional Methods. 5. Data Fusion Applied to Feature Based Stereo Algorithms. 6. Fusing Binocular and Monocular Depth Cues. 7. Data Fusion in Shape from Shading Algorithms. 8. Temporal Aspects of Data Fusion. 9. Towards a Constraint Based Theory of Sensory Data Fusion.

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
041576	681.3.02 CLA	Papier	Bibliothèque Centrale	Electronique	Disponible	En bon état