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3D registration of human face using evolutionary computation and Kriging interpolation

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Accession number:20090211844708

Title:3D registration of human face using evolutionary computation and Kriging interpolation

Authors:Chang, Yau-Zen (1); Tsai, Zhi-Ren (2); Lee, Shih-Tseng (3) Author affiliation:(1) Department of Mechanical Engineering, Chang Gung University, Tao-Yuan 33302, Taiwan; (2) Department of

Computer Science and Information Engineering, Asia University, Taichung, Taiwan; (3) Medical Augmented Reality Research and Development Center, Chang Gung Memorial Hospital, Linkou Branch, Tao-Yuan, Taiwan

Corresponding author:Chang, Y.-Z.

(zen@mail.cgu.edu.tw)

Source title:Artificial Life and Robotics Abbreviated source title:Artif. Life Rob.

Volume:13 Issue:1

Issue date:2008

Publication year:2008 Pages:242-245

Language:English ISSN:14335298 E-ISSN:16147456

Document type:Journal article (JA)

Publisher:Springer-Verlag Tokyo, 3-13, Hongo 3-chome, Bunkyo-ku, Tokyo, 113-8480, Japan

Abstract:This paper proposes a fast and robust 3D human face geometric data registration strategy dedicated for image-guided medical applications. The registration scheme is composed of a coarse transformation stage and a fine-tuning stage. In the first stage, fuzzy c-mean is used to reduce the data amount of template 3D image, and evolutionary computation is implemented to find optimal initial pose for the Iterative Closest Point plus k-dimensional (KD) tree scheme. In the second stage, the huge reference image data are replaced by a Kriging model. The time-consuming search for corresponding points in evaluating the degree of misalignment is substituted by projecting the points in the template image onto the model. To illustrate the validity and applicability of the proposed

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approach, a problem composed of 174 635 points reference image and an 11 280 points template image is demonstrated.

Computational results show that our approach accelerates the registration process from 1361.28 seconds to 432.85 seconds when compared with the conventional ICP plus K-D tree scheme, while the average misalignment reduces from 11.35 mm to 2.33 mm. ©

International Symposium on Artificial Life and Robotics (ISAROB).

2008.

Number of references:14

Main heading:Three dimensional

Controlled terms:Calculations - Medical applications - Trees (mathematics)

Uncontrolled terms:Evolutionary computation - Human face

registration - Image-guided therapy - Iterative closest point - Kriging model

Classification code:921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 921 Mathematics - 902.1 Engineering Graphics - 723.5 Computer Applications - 723 Computer Software, Data Handling and Applications - 721 Computer Circuits and Logic Elements - 461.1 Biomedical Engineering

DOI:10.1007/s10015-008-0532-6 Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

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