NDLI: Automatic detection of facial feature points and contours

Content Provider	IEEE Xplore Digital Library
Author	Yokoyama, T. Wu, H. Yachida, M.
Copyright Year	1996
Description	Author affiliation: Dept. of Syst. Eng., Osaka Univ., Japan (Yokoyama, T.)
Abstract	This paper presents a method for automatic processing of human faces from color images. We describe a new system, which works hierarchically from detecting the position of human faces and their features (such as eyes, nose, mouth, etc.) and to extracting their contours and feature points. The position of human faces and their parts are detected from the image by applying the integral projection method, which uses both the color information (skin and hair color) and edge information (intensity and sign). A multiple active contour model is used to extract the contour-lines of facial features. To do this, we use color information in their energy terms. Facial feature points are decided based on the optimized contours. A constructed 3D facial model using these points can be used to generate its facial expression or change its view. The proposed system is confirmed to be very effective and robust when dealing with images of faces with complex backgrounds.
Starting Page	335
Ending Page	340
File Size	893081
Page Count	6
File Format	PDF
ISBN	0780332539
DOI	10.1109/ROMAN.1996.568859
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face detection Facial features Humans Data mining Image edge detection Color Eyes Nose Mouth Skin
Content Type	Text
Resource Type	Article

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