NDLI: On 3D face feature segmentation using implicit surface active contours

Content Provider	IEEE Xplore Digital Library
Author	Krueger, M. Delmas, P. Gimelfarb, G.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Auckland, Auckland (Krueger, M.; Delmas, P.; Gimelfarb, G.)
Abstract	Segmentation and extraction of face features from 2D images has been researched extensively in the past. Recent research shows that algorithms incorporating 3D information often perform better than purely 2D approaches in many areas of computer vision including face biometrics and recognition. Cheaper and readily available 3D data acquisition devices combined with improved 3D reconstruction algorithms delivering highly accurate data are leading a shift from 2D to 3D based data. In this paper we review our recently introduced algorithm for segmentation of 3D surfaces using active contours. Then we apply this framework to propose a novel method for feature segmentation from 3D faces. The performance of our model is illustrated on a set of 3D faces.
Starting Page	1
Ending Page	6
File Size	1155602
Page Count	6
File Format	PDF
ISBN	9781424437801
DOI	10.1109/IVCNZ.2008.4762105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-26
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Computer vision Face recognition Data acquisition surface segmentation Reconstruction algorithms face features partial differential equation Face detection Data mining Active contours Image segmentation 3D lips Feature extraction Active contour
Content Type	Text
Resource Type	Article

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