Excerpt from Robotics Research Technical Report: 3-D Curve Matching
Existing object recognition systems (see [bj85], [cd86]) use either 2-d or 3-d models. 3-d descriptions have the advantage of allowing a full de scription of a 3-d model from an unconstrained viewpoint. In an industrial application we can usually expect to be in a position to obtain this descrip tion, since the model objects can be preprocessed by taking pictures. Other sensory information may be available as well. Since a natural description of a 3-d object is by its bounding surfaces, much prior work concentrates on object recognition using surface information (see the surveys cited above). However, a reliable surface description requires a large amount of data. Handling this data, even using efficient algorithms, is likely to make recog nition time consuming.
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Excerpt from Robotics Research Technical Report: 3-D Curve Matching Robotics Research Technical Report: 3-D Curve Matching was written by Eyal Kishon. This is a 38 page book, containing 5127 words and 19 pictures. Search Inside is enabled for this title. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Paperback. Condition: New. Print on Demand. This book addresses the problem of efficiently finding the best subcurve match for two given 3D curves, an important task in robot vision and object recognition. The author presents an innovative algorithm that operates in time linear to the number of sample points on the observed curve, making it practical for real-time applications. The method is particularly valuable in situations where viewpoint and occlusion limit the data available and a full surface description is impractical. The author demonstrates the algorithm's effectiveness through experiments involving the matching of 3D curves extracted from real-world objects. The insights gained from this work have significant implications for the development of efficient and robust object recognition systems. 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. Seller Inventory # 9781330240670_0
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781330240670
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781330240670
Quantity: 15 available