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Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure (Series in Machine Perception and Artificial Intelligence) [Hardcover]

By Luciano Silva (Author), Olga R. P. Bellon (Author) & Kim L. Boyer (Author)
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Item description for Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure (Series in Machine Perception and Artificial Intelligence) by Luciano Silva, Olga R. P. Bellon & Kim L. Boyer...

This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned. To this end, a novel effective evaluation metric for registration, the Surface Interpenetration Measure (SIM) is defined. This measure quantifies the interleaving of two surfaces as their alignment is refined, putting the qualitative evaluation of "splotchiness," often used in reference to renderings of the aligned surfaces, onto a solid mathematical footing. The SIM is shown to be superior to mean squared error (i.e. more sensitive to fine scale changes) in controlling the final stages of the alignment process. The authors go on to combine the SIM with Genetic Algorithms (GAs) to develop a robust approach for range image registration. The results confirm that this technique achieves precise surface registration with no need for prealignment, as opposed to methods based on the Iterative Closest Point (ICP) algorithm, the most popular to date. Thorough experimental results including an extensive comparative study are presented and enhanced GA-based approaches to improve the registration still further are proposed. The authors also develop a global multiview registration technique using the GA-based approach. The results show considerable promise in terms of accuracy for 3D modeling.



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Item Specifications...


Studio: World Scientific Publishing Company
Pages   164
Est. Packaging Dimensions:   Length: 9" Width: 5.8" Height: 0.6"
Weight:   0.8 lbs.
Binding  Hardcover
Release Date   Dec 31, 2004
Publisher   World Scientific Publishing Company
ISBN  9812561080  
ISBN13  9789812561084  


Availability  0 units.


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Product Categories

1Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Computer Mathematics
2Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > General
3Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Human Vision & Language Systems
4Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Machine Vision
5Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Theory of Computing
6Books > Subjects > Computers & Internet > General
7Books > Subjects > Computers & Internet > Networking > Data in the Enterprise
8Books > Subjects > Computers & Internet > Programming > Algorithms > General
9Books > Subjects > Computers & Internet > Programming > Algorithms
10Books > Subjects > Professional & Technical > Engineering > Electrical & Electronics
11Books > Subjects > Professional & Technical > Engineering > Electrical & Optical > General



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