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1.

図書
図書
1. Proceedings of the 6th International Conference on Robot Vision and Sensory Controls 3-5 June, 1986 Paris, France : an international event organised and sponsored by IFS (Conferences) Ltd, 35-39 High Street, Kempston, Bedford UK (: us ; : gw)
edited by M. Briot
出版情報: Kempston : IFS (Publications ), c1986  viii, 278 p. ; 31 cm
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2.

図書
図書
2. Algorithmic and geometric aspects of robotics
edited by Jacob T. Schwartz, Chee-Keng Yap
出版情報: Hillsdale, N.J. : L. Erlbaum Associates, 1987  xii, 305 p. ; 24 cm
シリーズ名: Advances in robotics ; v. 1
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3.

図書
図書
3. Motion understanding : robot and human vision
edited by W.N. Martin, J.K. Aggarwal
出版情報: Boston : Kluwer Academic Publishers, c1988  xx, 432 p. ; 25 cm
シリーズ名: The Kluwer international series in engineering and computer science ; SECS 44 . Robotics
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4.

図書
図書
4. Active visual inference of surface shape
Roberto Cipolla
出版情報: Berlin ; New York : Springer-Verlag, c1996  xii, 193 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1016
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5.

図書
図書
5. Representing and acquiring geographic knowledge (: uk ; : us)
Ernest Davis
出版情報: London : Pitman , Los Altos, Calif. : Morgan Kaufmann, 1986  [xvi], 223 p. ; 25 cm
シリーズ名: Research notes in artificial intelligence
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6.

図書
図書
6. Robot vision (: MIT ; : McGraw-Hill)
Berthold Klaus Paul Horn
出版情報: Cambridge, Mass. : MIT Press , New York : McGraw-Hill, c1986  x, 509 p. ; 24 cm
シリーズ名: The MIT electrical engineering and computer science series
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7.

図書
図書
7. Artificial vision for mobile robots : stereo vision and multisensory perception
Nicholas Ayache ; translated from the French by Peter T. Sander
出版情報: Cambridge, Mass. : MIT Press, c1991  342 p. ; 24 cm
シリーズ名: The MIT Press series in artificial intelligence
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8.

図書
図書
8. 3D model recognition from stereoscopic cues
edited by John E.W. Mayhew and John P. Frisby
出版情報: Cambridge, Mass. : MIT Press, c1991  269 p. ; 29 cm
シリーズ名: The MIT Press series in artificial intelligence
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9.

図書
図書
9. Computer vision for robots : 2-6 December, 1985, Cannes, France (pbk.)
O.D. Faugeras, Robert Kelley, chairmen/editors ; organized by SPIE--the International Society for Optical Engineering [and] ANRT--Association nationale de la recherche technique
出版情報: Bellingham, Wash., USA : The Society, c1986  viii, 347 p. ; 28 cm
シリーズ名: Proceedings / SPIE -- the International Society for Optical Engineering ; v. 595
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10.

図書
図書
10. Learning-based robot vision : principles and applications
Josef Pauli
出版情報: Berlin ; Tokyo : Springer, c2001  ix, 288 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2048
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目次情報: 続きを見る
Introduction / 1：
Need for New-Generation Robot Systems / 1.1：
Paradigms of Computer Vision (CV) and Robot Vision (RV) / 1.2：
Characterization of Computer Vision / 1.2.1：
Ch aracterization of Robot Vision / 1.2.2：
Robot Systems versus Autonomous Robot Systems / 1.3：
Characterization of a Robot System / 1.3.1：
Characterization of an Autonomous Robot System / 1.3.2：
Autonomous Camera-Equipped Robot System / 1.3.3：
Important Role of Demonstration and Learning / 1.4：
Learning Feature Compatibilities under Real Imaging / 1.4.1：
Learning Feature Manifolds of Real World Situations / 1.4.2：
Learning Environment-Effector-Image Relationships / 1.4.3：
Compatibilities, Manifolds, and Relationships / 1.4.4：
Ch apter Overview of th e Work / 1.5：
Compatibilities for Object Boundary Detection / 2：
Introduction to th e Ch apter / 2.1：
General Context of th e Ch apter / 2.1.1：
Object Localization and Boundary Extraction / 2.1.2：
Detailed Review of Relevant Literature / 2.1.3：
Outline of th e Sections in th e Ch apter / 2.1.4：
Geometric/Photometric Compatibility Principles / 2.2：
HoughTransformation for Line Extraction / 2.2.1：
Orientation Compatibility between Lines and Edges / 2.2.2：
Junction Compatibility between Pencils and Corners / 2.2.3：
Compatibility-Based Structural Level Grouping / 2.3：
HoughPeaks for Approximate Parallel Lines / 2.3.1：
Phase Compatibility between Parallels and Ramps / 2.3.2：
Extraction of Regular Quadrangles / 2.3.3：
Extraction of Regular Polygons / 2.3.4：
Compatibility-Based Assembly Level Grouping / 2.4：
Focusing Image Processing on Polygonal Windows / 2.4.1：
Vanishing-Point Compatibility of Parallel Lines / 2.4.2：
Pencil Compatibility of Meeting Boundary Lines / 2.4.3：
Boundary Extraction for Approximate Polyhedra / 2.4.4：
Geometric Reasoning for Boundary Extraction / 2.4.5：
Visual Demonstrations for LearningDegrees ofCompatibility / 2.5：
LearningDegreeofLine/EdgeOrientationCompatibility / 2.5.1：
LearningDegreeofParallel/RampPhaseCompatibility / 2.5.2：
Learning Degree of Parallelism Compatibility / 2.5.3：
Summary and Discussion of th e Ch apter / 2.6：
Manifolds for Object and Situation Recognition / 3：
Approachfor Object and Situation Recognition / 3.1：
Learning Pattern Manifolds withGBFs and PCA / 3.1.3：
Compatibility and Discriminability for Recognition / 3.2.1：
Regularization Principles and GBF Networks / 3.2.2：
Canonical FrameswithPrincipalComponent Analysis.116 / 3.2.3：
GBF Networks for Approximation of Recognition Functions / 3.3：
Approachof GBF Network Learning for Recognition / 3.3.1：
Object Recognition under Arbitrary View Angle / 3.3.2：
Object Recognition for Arbitrary View Distance / 3.3.3：
Scoring of Grasping Situations / 3.3.4：
SophisticatedManifoldApproximationforRobustRecognition.133 / 3.4：
Making Manifold Approximation Tractable / 3.4.1：
Log-Polar Transformation for Manifold Simplification.137 / 3.4.2：
Space-Time Correlations for Manifold Refinement / 3.4.3：
Learning Strategy withPCA/GBF Mixtures / 3.4.4：
Learning-Based Achievement of RV Competences / 3.5：
Learning Beh avior-Based Systems / 4.1：
Integrating Deliberate Strategies and Visual Feedback / 4.1.3：
Dynamical Systems and Control Mechanisms / 4.2.1：
Generic Modules for System Development / 4.2.2：
Treatment of an Exemplary High-Level Task / 4.3：
Description of an Exemplary High-Level Task / 4.3.1：
Localization of a Target Object in the Image / 4.3.2：
Determining and Reconstructing Obstacle Objects / 4.3.3：
Approaching and Grasping Obstacle Objects / 4.3.4：
Clearing Away Obstacle Objects on a Parking Area / 4.3.5：
Inspection and/or Manipulation of a Target Object / 4.3.6：
Monitoring the Task-Solving Process / 4.3.7：
Overall Task-Specific Configuration of Modules / 4.3.8：
Basic Mechanisms for Camera-Robot Coordination / 4.4：
Camera-Manipulator Relation for One-Step Control / 4.4.1：
Camera-Manipulator Relation for Multi-step Control.245 / 4.4.2：
Hand Servoing for Determining the Optical Axis / 4.4.3：
Determining th e Field of Sh arp View / 4.4.4：
Summary and Discussion / 4.5：
Developing Camera-Equipped Robot Systems / 5.1：
Rationale for th e Contents of Th is Work / 5.2：
Proposals for Future Research Topics / 5.3：
Ellipsoidal Interpolation / Appendix 1：
Further Behavioral Modules / Appendix 2：
Symbols
Index
References
Introduction / 1：
Need for New-Generation Robot Systems / 1.1：
Paradigms of Computer Vision (CV) and Robot Vision (RV) / 1.2：
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