Object Recognition by Computer: The Role of Geometric Constraints

W. Eric L. Grimson, Tomas Lozano-Perez et Daniel P. Huttenlocher

ISBN 10: 0262071304 / ISBN 13: 9780262071307

Verlag: MIT Press, 1990

Beschreibung

Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1990. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Edition 1990. Ammareal gives back up to 15% of this item's net price to charity organizations.

Bestandsnummer des Verkäufers D-484-941

Bibliografische Details

• Titel: Object Recognition by Computer: The Role of Geometric Constraints
• Verlag: MIT Press
• Erscheinungsjahr: 1990
• Sprache: Englisch
• ISBN-10: 0262071304
• ISBN-13: 9780262071307
• Einband: Hardcover
• Zustand: Très bon

Über diesen Titel

Inhaltsangabe

The solution to problems of object recognition is of fundamental importance in many applications, and versions of the techniques described here are already being used in many industrial settings. Although much still needs to be solved, the authors provide a framework for understanding both the strengths and limitations of using object shape to guide recognition. They describe an extended series of experiments and provide precise definition and analysis of recognition and localization problems. Annotation copyright Book News, Inc. Portland, Or.

Reseña del editor

With contributions from Tomas LozanoPerez and Daniel P. Huttenlocher.An intelligent system must know "what "the objects are and "where "they are in its environment. Examples of this ubiquitous problem in computer vision arise in tasks involving hand-eye coordination (such as assembling or sorting), inspection tasks, gauging operations, and in navigation and localization of mobile robots. This book describes an extended series of experiments into the role of geometry in the critical area of object recognition. It provides precise definitions of the recognition and localization problems, describes the methods used to address them, analyzes the solutions to these problems, and addresses the implications of this analysis.The solution to problems of object recognition are of fundamental importance in many real applications and versions of the techniques described here are already being used in industrial settings. Although a number of questions remain to be solved, the authors provide a valuable framework for understanding both the strengths and limitations of using object shape to guide recognition.W. Eric L. Grimson is Matsushita Associate Professor in the Department of Electrical Engineering and Computer Science at MIT.Contents: Introduction. Recognition as a Search Problem. Searching for Correspondences. Two-Dimensional Constraints. Three-Dimensional Constraints. Verifying Hypotheses. Controlling the Search Explosion. Selecting Subspaces of the Search Space. Empirical Testing. The Combinatorics of the Matching Process. The Combinatorics of Hough Transforms. The Combinatorics of Verification. The Combinatorics of Indexing. Evaluating the Methods. Recognition from Libraries. Parameterized Objects. The Role of Grouping. Sensing Strategies. Applications. The Next Steps.