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Sous-collection Robotics: vision, manipulation and sensors
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Titre : Bayesian modeling of uncertainty in low-level vision Type de document : texte imprimé Auteurs : Richard Szeliski, Auteur ; Takeo Kanade, Préfacier, etc. Editeur : Boston : Kluwer academic publishers Année de publication : 1989 Collection : The kluwer international series in engineering and computer science Sous-collection : Robotics: vision, manipulation and sensors num. 79 Importance : XVII-198 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-7923-9039-8 Note générale : Index Langues : Anglais (eng) Mots-clés : Théorème de Bayes
Perception visuelle
Algorithmes
Computer vision -- Mathematical models
Vision par ordinateur -- Modèles mathématiquesIndex. décimale : 621.391 Notions générales sur l'ingénierie des Communications électriques. Cybernétique. Théorie de l'information. Théorie des signaux Résumé : Bayesian modeling of uncertainty in low-level vision develops a probablistic model for low-level vision problems such as surface interpolation and depth from motion. The model allows us to describe the uncertainty in the output of low-level vision algorithms. This uncertainty is inherent in all vision applications because of the noisy nature of real sensors.
Modeling of this uncertainty allows us to create algorithms that are more robust with respect to this noise.Note de contenu : Contents:
* Introduction.
* Representations for low-level vision.
* Bayesian models and Markov Random Fields.
* Prior models.
* Sensor models.
* Posterior estimates.
...Bayesian modeling of uncertainty in low-level vision [texte imprimé] / Richard Szeliski, Auteur ; Takeo Kanade, Préfacier, etc. . - Boston : Kluwer academic publishers, 1989 . - XVII-198 p. : ill. ; 24 cm. - (The kluwer international series in engineering and computer science. Robotics: vision, manipulation and sensors; 79) .
ISBN : 978-0-7923-9039-8
Index
Langues : Anglais (eng)
Mots-clés : Théorème de Bayes
Perception visuelle
Algorithmes
Computer vision -- Mathematical models
Vision par ordinateur -- Modèles mathématiquesIndex. décimale : 621.391 Notions générales sur l'ingénierie des Communications électriques. Cybernétique. Théorie de l'information. Théorie des signaux Résumé : Bayesian modeling of uncertainty in low-level vision develops a probablistic model for low-level vision problems such as surface interpolation and depth from motion. The model allows us to describe the uncertainty in the output of low-level vision algorithms. This uncertainty is inherent in all vision applications because of the noisy nature of real sensors.
Modeling of this uncertainty allows us to create algorithms that are more robust with respect to this noise.Note de contenu : Contents:
* Introduction.
* Representations for low-level vision.
* Bayesian models and Markov Random Fields.
* Prior models.
* Sensor models.
* Posterior estimates.
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Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire 041567 621.391 SZE Papier Bibliothèque Centrale Electronique Disponible En bon état Computer-aided mechanical assembly planning (1991)
Titre : Computer-aided mechanical assembly planning Type de document : texte imprimé Auteurs : Luiz S. Homem de Mello, Éditeur scientifique ; Sukhan Lee, Éditeur scientifique Editeur : Boston : Kluwer academic publishers Année de publication : 1991 Collection : The kluwer international series in engineering and computer science Sous-collection : Robotics: vision, manipulation and sensors num. 148 Importance : XI-446 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-7923-9205-7 Note générale : Bibliogr. p. 433-435. Index Langues : Anglais (eng) Mots-clés : Computer-aided engineering
Assembling machines
Assemblage (informatique)
Ingénierie assistée par ordinateurIndex. décimale : 621.7.06 Machinerie: assemblage. Eléments principaux et installations accessoires. Résumé :
The field of computer-aided mechanical assembly planning has emerged in recent year stemming from the progress in artificial intelligence and robotics, especially in the areas of planning, and geometric and physical reasoning. The importance of automating the planning of mechanical assembly is twofold.Note de contenu : Contents:
* Assembly modeling.
- Representations for assemblies.
- Representation of solid objects by a modular boundary model.
- Graphs of kinematic constraints.
- Relative positioning of parts in assemblies using mathematical programming.
* Assembly planning.
- Representations for assembly sequences.
- A basic algorithm for the generation of mechanical assembly sequences.
...Computer-aided mechanical assembly planning [texte imprimé] / Luiz S. Homem de Mello, Éditeur scientifique ; Sukhan Lee, Éditeur scientifique . - Boston : Kluwer academic publishers, 1991 . - XI-446 p. : ill. ; 24 cm. - (The kluwer international series in engineering and computer science. Robotics: vision, manipulation and sensors; 148) .
ISBN : 978-0-7923-9205-7
Bibliogr. p. 433-435. Index
Langues : Anglais (eng)
Mots-clés : Computer-aided engineering
Assembling machines
Assemblage (informatique)
Ingénierie assistée par ordinateurIndex. décimale : 621.7.06 Machinerie: assemblage. Eléments principaux et installations accessoires. Résumé :
The field of computer-aided mechanical assembly planning has emerged in recent year stemming from the progress in artificial intelligence and robotics, especially in the areas of planning, and geometric and physical reasoning. The importance of automating the planning of mechanical assembly is twofold.Note de contenu : Contents:
* Assembly modeling.
- Representations for assemblies.
- Representation of solid objects by a modular boundary model.
- Graphs of kinematic constraints.
- Relative positioning of parts in assemblies using mathematical programming.
* Assembly planning.
- Representations for assembly sequences.
- A basic algorithm for the generation of mechanical assembly sequences.
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Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire 041593 621.7.06 COM Papier Bibliothèque Centrale Génie Mécanique Disponible En bon état
Titre : Computer analysis of visual textures Type de document : texte imprimé Auteurs : Tomita , Fumiaki, Auteur ; Tsuji , Saburo, 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. 102 Importance : IX-173 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-0-7923-9114-2 Note générale : Bibliogr. p. 163-170. Index Langues : Anglais (eng) Mots-clés : Computer vision
Visual texture recognition
Artificial intelligence
Bildverarbeitung
Linguistische Datenverarbeitung
Maschinelles Sehen
Textanalyse
TexturIndex. décimale : 681.3 Appareils et matériel de traitement de données. Informatique Résumé :
Computer vision research in the field of artificial intellegence began in the early 1960s. Even in this short period of history, there has been a shift of the main issue and the corresponding terminology from image processing to scene analysis, to image understanding, and shape-from X.Note de contenu : Contents:
* Statistical Texture Analysis.
* Image Segmentation.
* Shape Analysis.
* Structural Texture Analysis.
* Grouping.
* System and Evaluation.
* Object Recognition.
* Shape from Texture.Computer analysis of visual textures [texte imprimé] / Tomita , Fumiaki, Auteur ; Tsuji , Saburo, Auteur . - Boston : Kluwer academic publishers, 1990 . - IX-173 p. : ill. ; 25 cm. - (The kluwer international series in engineering and computer science. Robotics: vision, manipulation and sensors; 102) .
ISBN : 978-0-7923-9114-2
Bibliogr. p. 163-170. Index
Langues : Anglais (eng)
Mots-clés : Computer vision
Visual texture recognition
Artificial intelligence
Bildverarbeitung
Linguistische Datenverarbeitung
Maschinelles Sehen
Textanalyse
TexturIndex. décimale : 681.3 Appareils et matériel de traitement de données. Informatique Résumé :
Computer vision research in the field of artificial intellegence began in the early 1960s. Even in this short period of history, there has been a shift of the main issue and the corresponding terminology from image processing to scene analysis, to image understanding, and shape-from X.Note de contenu : Contents:
* Statistical Texture Analysis.
* Image Segmentation.
* Shape Analysis.
* Structural Texture Analysis.
* Grouping.
* System and Evaluation.
* Object Recognition.
* Shape from Texture.Réservation
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Titre : Control of machines with friction Type de document : texte imprimé Auteurs : Armstrong-Hélouvry, Brian, Auteur Editeur : Boston : Kluwer academic publishers Année de publication : 1991 Collection : The kluwer international series in engineering and computer science Sous-collection : Robotics: vision, manipulation and sensors num. 128 Importance : XI-173 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-7923-9133-3 Note générale : Bibliogr. Index Langues : Anglais (eng) Mots-clés : Tribologie (technologie)
Génie mécaniqueIndex. décimale : 62-52 Machine et processus conduits ou contrôlés automatiquement Résumé : Control of machines with friction brings tribology to the study of control of machines with friction. Tribology, from the greek for study of rubbing, is the discipline that concerns itself with friction, wear and lubrication.
Within tribology, experimental and theoretical understanding of friction in lubricated machines is well developed. The control engineer's interest is in dynamics, which is not the central interest of the tribologist...Note de contenu : Contents:
* Friction in Machines.
* Experiment Design.
* Repeatability.
* Break-Away Experiments.
* Friction as a Function of Velocity.
* Analysis of Stick-Slip.
* Demonstrations of Friction Compensation.
* Suggestions Toward Friction Modeling and Compensation.Control of machines with friction [texte imprimé] / Armstrong-Hélouvry, Brian, Auteur . - Boston : Kluwer academic publishers, 1991 . - XI-173 p. : ill. ; 24 cm. - (The kluwer international series in engineering and computer science. Robotics: vision, manipulation and sensors; 128) .
ISBN : 978-0-7923-9133-3
Bibliogr. Index
Langues : Anglais (eng)
Mots-clés : Tribologie (technologie)
Génie mécaniqueIndex. décimale : 62-52 Machine et processus conduits ou contrôlés automatiquement Résumé : Control of machines with friction brings tribology to the study of control of machines with friction. Tribology, from the greek for study of rubbing, is the discipline that concerns itself with friction, wear and lubrication.
Within tribology, experimental and theoretical understanding of friction in lubricated machines is well developed. The control engineer's interest is in dynamics, which is not the central interest of the tribologist...Note de contenu : Contents:
* Friction in Machines.
* Experiment Design.
* Repeatability.
* Break-Away Experiments.
* Friction as a Function of Velocity.
* Analysis of Stick-Slip.
* Demonstrations of Friction Compensation.
* Suggestions Toward Friction Modeling and Compensation.Réservation
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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 multicapteursIndex. 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 multicapteursIndex. 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
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