NDLI: Evolution Strategies for Matching Active Appearance Models to Human Faces

Content Provider	IEEE Xplore Digital Library
Author	Yui Man Lui Beveridge, J.R. Howe, A.E. Whitley, L.D.
Copyright Year	2007
Description	Author affiliation: Colorado State Univ., Fort Collins (Yui Man Lui; Beveridge, J.R.; Howe, A.E.; Whitley, L.D.)
Abstract	Face registration is a challenging problem due in part to the non-rigid nature of human faces. Active Appearance Models (AAMs) have been proposed as a useful technique for face registration in part because they can account for changes in shape. Fitting of AAMs to imagery is typically done using the Gauss-Newton method; however this approach is known to fail when either the initial shape estimate is to far off and/or the appearance model fails to direct search toward a good match. In this paper, we employ Evolution Strategies (ES) to search for a near optimal fit, i.e. set of model parameters, that relate an AAM to a novel face image. In addition, we dramatically reduce the dimensionality of the search problem by analytically determining the optimal texture parameters associated with any given shape. Experimental results reveal that the proposed approach outperforms the standard AAM parameter estimation technique and some of its variants. Further, the difference is statistically significant. Finally, some basic limitations of AAMs are identified using fitness landscape analysis.
Starting Page	1
Ending Page	7
File Size	2610548
Page Count	7
File Format	PDF
ISBN	9781424415960
DOI	10.1109/BTAS.2007.4401922
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Humans Search problems Active shape model Active appearance model Face Newton method Image texture analysis Least squares methods Recursive estimation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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