Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure

Author:   Luciano Silva (Univ Federal Do Parana, Brazil) ,  Olga R P Bellon (Univ Federal Do Parana, Brazil) ,  Kim L Boyer (Rensselaer Polytechnic Inst, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
Volume:   60
ISBN:  

9789812561084


Pages:   176
Publication Date:   14 December 2004
Format:   Hardback
Availability:   Awaiting stock   Availability explained
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Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure


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Overview

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.

Full Product Details

Author:   Luciano Silva (Univ Federal Do Parana, Brazil) ,  Olga R P Bellon (Univ Federal Do Parana, Brazil) ,  Kim L Boyer (Rensselaer Polytechnic Inst, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Volume:   60
Dimensions:   Width: 16.20cm , Height: 1.40cm , Length: 23.00cm
Weight:   0.404kg
ISBN:  

9789812561084


ISBN 10:   9812561080
Pages:   176
Publication Date:   14 December 2004
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

Range Image Registration; Surface Interpenetration Measure (SIM); Range Image Registration using Genetic Algorithms; Robust Range Registration by Combining GAs and the SIM; Multiview Range Image Registration.

Reviews

"""This book is very useful for the specialists in the fields of image processing, machine perception and three-dimensional model construction. Beginners in the field can also profit from the clear description of the problems and their solutions."" Zentralblatt MATH"


This book is very useful for the specialists in the fields of image processing, machine perception and three-dimensional model construction. Beginners in the field can also profit from the clear description of the problems and their solutions. Zentralblatt MATH


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