Scalable Parallel Geometric Hashing for Hypercube Simd Architectures (Classic Reprint) - Couverture souple

Rigoutsos, Isidore

9781332093557: Scalable Parallel Geometric Hashing for Hypercube Simd Architectures (Classic Reprint)

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ISBN 10 : 1332093558 ISBN 13 : 9781332093557

Editeur : Forgotten Books, 2018

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This book introduces a new method to model-based object recognition using a parallel geometric hashing algorithm for hypercube SIMD architectures. The algorithm executes in parallel, reducing search time, and enabling fast recognition of objects independent of translation, rotation, and scaling. The author provides multiple building-block algorithms used in the approach, along with a novel radix-sort based histogramming algorithm. The book has broad historical context within both computer science and engineering, discussing the evolution of object recognition. Thematic depth includes analysis of efficient parallel implementation, along with examination of the effectiveness of the algorithm, which can locate embedded objects even when they are obscured or misplaced. This book will appeal to students, academics, and practitioners in computer science, image processing, and engineering. Its insights are highly significant within the field of computer vision and pave the way for exciting new developments.

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�diteur: Forgotten Books
Date d'�dition: 2018
Langue: anglais
ISBN 10: 1332093558
ISBN 13: 9781332093557
Reliure: Broch�
Nombre de pages: 35
Coordonn�es du fabricant: Copytech (UK) Ltd, Trading as Printondemand-worldwide.com
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Scalable Parallel Geometric Hashing for Hypercube Simd Architectures

Isidore Rigoutsos, Robert Hummel

Edit� par Forgotten Books, 2018

ISBN 10 : 1332093558 ISBN 13 : 9781332093557

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Vendeur : Forgotten Books, London, Royaume-Uni

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Paperback. Etat : New. Print on Demand. This book introduces a new method to model-based object recognition using a parallel geometric hashing algorithm for hypercube SIMD architectures. The algorithm executes in parallel, reducing search time, and enabling fast recognition of objects independent of translation, rotation, and scaling. The author provides multiple building-block algorithms used in the approach, along with a novel radix-sort based histogramming algorithm. The book has broad historical context within both computer science and engineering, discussing the evolution of object recognition. Thematic depth includes analysis of efficient parallel implementation, along with examination of the effectiveness of the algorithm, which can locate embedded objects even when they are obscured or misplaced. This book will appeal to students, academics, and practitioners in computer science, image processing, and engineering. Its insights are highly significant within the field of computer vision and pave the way for exciting new developments. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. N� de r�f. du vendeur 9781332093557_0

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