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Efficient visual recognition using the Hausdorff distance / William Rucklidge.

By: Rucklidge, William, 1966-Material type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 1173.Publication details: Berlin ; New York : Springer, ©1996. Description: 1 online resource (xiii, 178 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540495871; 3540495878; 3540619933; 9783540619932Subject(s): Computer vision | Optical pattern recognition | Hausdorff measures | Computer vision | Hausdorff measures | Optical pattern recognitionGenre/Form: Electronic books. Additional physical formats: Print version:: No titleDDC classification: 006.3/7 LOC classification: TA1634 | .R83 1996Online resources: Click here to access online
Contents:
The Hausdorff distance -- Exact computation -- Rasterisation -- Efficient computation -- Implementations and examples -- Applications -- Conclusions.
Summary: This book presents the theoretical aspects and practical development of a computer vision system for searching an image for a specified model object; this system is reliable, tolerates imperfections in the image and model, and is fast enough for real-world applications. A number of search techniques are evaluated. The capabilities of the author's image search system are demonstrated on a variety of examples, and applications using it to track moving objects and navigate mobile robots are shown. This book is essential reading for anybody interested in model-based object recognition.
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Includes bibliographical references (pages 171-176) and index.

This book presents the theoretical aspects and practical development of a computer vision system for searching an image for a specified model object; this system is reliable, tolerates imperfections in the image and model, and is fast enough for real-world applications. A number of search techniques are evaluated. The capabilities of the author's image search system are demonstrated on a variety of examples, and applications using it to track moving objects and navigate mobile robots are shown. This book is essential reading for anybody interested in model-based object recognition.

The Hausdorff distance -- Exact computation -- Rasterisation -- Efficient computation -- Implementations and examples -- Applications -- Conclusions.

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