DocumentCode :
2729672
Title :
Facial feature extraction from frontal face image
Author :
Yagi, Yasushi
Author_Institution :
Dept. of Syst. & Human Sci., Osaka Univ., Japan
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1225
Abstract :
In this paper, we describe a system for extracting the facial features required to reconstruct a 3D model of a face from a 2D image. The facial image processing library comprises of 32 standard functions and 7 functions for the automatic facial contour extraction function. 32 standard functions can be classified into five groups such as face detection, pupil detection, facial parts detection, facial parts contour extraction and face contour extraction. The system is not only useful for the automatic 3D facial model fitting but also for a widespread facial image processing applications such as personal authentication and facial expression analysis
Keywords :
face recognition; feature extraction; image reconstruction; 2D image; 3D model; automatic 3D facial model fitting; automatic facial contour extraction function; face contour extraction; face detection; facial expression analysis; facial feature extraction; facial image processing; facial parts contour extraction; facial parts detection; frontal face image; personal authentication; pupil detection; Anthropomorphism; Face detection; Face recognition; Facial features; Humans; Image processing; Image reconstruction; Information processing; Libraries; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
Type :
conf
DOI :
10.1109/ICOSP.2000.891769
Filename :
891769
Link To Document :
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