Applications of Invariance in Computer Vision
Applications of Invariance in Computer Vision

Author: Joseph L. Mundy

Publisher: Springer Science & Business Media

Published: 1994-07-20

Total Pages: 536

ISBN-13: 9783540582403

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This book is the proceedings of the Second Joint European-US Workshop on Applications of Invariance to Computer Vision, held at Ponta Delgada, Azores, Portugal in October 1993. The book contains 25 carefully refereed papers by distinguished researchers. The papers cover all relevant foundational aspects of geometric and algebraic invariance as well as applications to computer vision, particularly to recovery and reconstruction, object recognition, scene analysis, robotic navigation, and statistical analysis. In total, the collection of papers, together with an introductory survey by the editors, impressively documents that geometry, in its different variants, is the most successful and ubiquitous tool in computer vision.

Proceedings
Proceedings

Author: IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence

Publisher:

Published: 1993

Total Pages: 742

ISBN-13: 9780818638725

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Perceptual Constancy
Perceptual Constancy

Author: Vincent Walsh

Publisher: Cambridge University Press

Published: 1998-08-13

Total Pages: 568

ISBN-13: 9780521460613

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The world is not always truly reflected in what we see. The brain creates images, fills in gaps and even at times constructs fictions. This book brings together experts from several diverse fields to present state of the art accounts of how the visual world enters two small holes in our heads and is reconstructed to give us the rich impressions of color, movement, and shape.

Distributed Autonomous Robotic Systems
Distributed Autonomous Robotic Systems

Author: Hajime Asama

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 392

ISBN-13: 4431682759

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As a new strategy to realize the goal of flexible, robust, fault-tolerant robotic systems, the distributed autonomous approach has quickly established itself as one of the fastest growing fields in robotics. This book is one of the first to devote itself solely to this exciting area of research, covering such topics as self-organization, communication and coordination, multi-robot manipulation and control, distributed system design, distributed sensing, intelligent manufacturing systems, and group behavior. The fundamental technologies and system architectures of distributed autonomous robotic systems are expounded in detail, along with the latest research findings. This book should prove indispensable not only to those involved with robotic engineering but also to those in the fields of artificial intelligence, self-organizing systems, and coordinated control.

Toward Category-Level Object Recognition
Toward Category-Level Object Recognition

Author: Jean Ponce

Publisher: Springer

Published: 2007-01-25

Total Pages: 622

ISBN-13: 3540687955

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This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.

Geometric Invariance in Computer Vision
Geometric Invariance in Computer Vision

Author: Joseph L. Mundy

Publisher:

Published: 1992

Total Pages: 568

ISBN-13:

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These twenty-three contributions focus on the most recent developments in the rapidly evolving field of geometric invariants and their application to computer vision. The introduction summarizes the basics of invariant theory, discusses how invariants are related to problems in computer vision, and looks at the future possibilities, particularly the notion that invariant analysis might provide a solution to the elusive problem of recognizing general curved 3D objects from an arbitrary viewpoint. The remaining chapters consist of original papers that present important developments as well as tutorial articles that provide useful background material. These chapters are grouped into categories covering algebraic invariants, nonalgebraic invariants, invariants of multiple views, and applications. An appendix provides an extensive introduction to projective geometry and its applications to basic problems in computer vision.