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Books > Computing & IT > Applications of computing > Pattern recognition

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Describing and Recognizing 3-D Objects Using Surface Properties (Hardcover, 1990 ed.) Loot Price: R2,876
Discovery Miles 28 760
Describing and Recognizing 3-D Objects Using Surface Properties (Hardcover, 1990 ed.): Ting-Jun Fan

Describing and Recognizing 3-D Objects Using Surface Properties (Hardcover, 1990 ed.)

Ting-Jun Fan

Series: Springer Series in Perception Engineering

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Loot Price R2,876 Discovery Miles 28 760 | Repayment Terms: R270 pm x 12*

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Surface properties play a very important role in many perception tasks. Object recognition, navigation, and inspection use surface properties ex tensively. Characterizing surfaces at different scales in given data is often the first and possibly the most important step. Most early research in ma chine perception relied on only very coarse characterization of surfaces. In the last few years, surface characterization has been receiving due attention. Dr. T. J. Fan is one of the very few researchers who designed and im plemented a complete system for object recognition. He studied issues re lated to characterization of surfaces in the context of object recognition, and then uses the features thus developed for recognizing objects. He uses a multi-view representation of 3-D objects for recognition, and he devel ops techniques for the segmentation of range images to obtain features for recognition. His matching approach also allows him to recognize objects from their partial views in the presence of other occluding objects. The efficacy of his approach is demonstrated in many examples."

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Springer Series in Perception Engineering
Release date: December 1989
First published: 1990
Authors: Ting-Jun Fan
Dimensions: 234 x 156 x 11mm (L x W x T)
Format: Hardcover
Pages: 142
Edition: 1990 ed.
ISBN-13: 978-0-387-97179-7
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
LSN: 0-387-97179-3
Barcode: 9780387971797

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