NDLI: An improved GAC model for lip contour detection

Content Provider	IEEE Xplore Digital Library
Author	Xiaohui Feng Qianhua He Weining Wang
Copyright Year	2008
Description	Author affiliation: Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou (Xiaohui Feng; Qianhua He; Weining Wang)
Abstract	An improved model for lip contour detection is proposed in this paper, which incorporates prior shape information into geometric active contours (GAC). A new shape energy function dependent on the prior shape information is used in GAC with prior shape. And the external energy function used in this model, is depending on the information of the image gradient. Therefore, the boundary of object can be captured either by higher magnitude of the image gradient or by the minimum dissimilar between the evolutive shape and the average prior shape. Experiments on mouth images show that the accuracy improvement of the shape contour detection using GAC with prior shape is nearly 11% over GAC.
Starting Page	1215
Ending Page	1218
File Size	126594
Page Count	4
File Format	PDF
ISBN	9781424421787
DOI	10.1109/ICOSP.2008.4697349
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Level set Linear discriminant analysis Solid modeling Mouth Acoustic signal detection Smoothing methods Helium Power engineering and energy Active shape model Degradation
Content Type	Text
Resource Type	Article

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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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