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Geometrical Feature-Based Detection of Pure Facial Regions  

이대호 (경희대학교 전자공학과)
박영태 (경희대학교 전자정보학부)
Publication Information
Journal of KIISE:Software and Applications / v.30, no.7_8, 2003 , pp. 773-779 More about this Journal
Abstract
Locating exact position of facial components is a key preprocessing for realizing highly accurate and reliable face recognition schemes. In this paper, we propose a simple but powerful method for detecting isolated facial components such as eyebrows, eyes, and a mouth, which are horizontally oriented and have relatively dark gray levels. The method is based on the shape-resolving locally optimum thresholding that may guarantee isolated detection of each component. We show that pure facial regions can be determined by grouping facial features satisfying simple geometric constraints on unique facial structure. In the test for over 1000 images in the AR -face database, pure facial regions were detected correctly for each face image without wearing glasses. Very few errors occurred in the face images wearing glasses with a thick frame because of the occluded eyebrow -pairs. The proposed scheme may be best suited for the later stage of classification using either the mappings or a template matching, because of its capability of handling rotational and translational variations.
Keywords
Face recognition; Facial components; Detection; racial region; shape-resolving local thresholding;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 R. Brunelli, T. Poggio, 'Face recognition: Features versus templates,' IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 15, pp. 1042-1052, 1983   DOI   ScienceOn
2 R. Brunelli, T. Poggio, 'Face recognition through geometrical features,' Computer Vision, ECCV '92, Lecture Notes in Computer Science, pp. 792-800, 1992   DOI
3 M. A. Turk, A. P. Pentland, 'Face recognition using eigenfaces,' Int. Conf. on Pattern Recognition, pp. 586-591, 1991   DOI
4 M. Kirby, L. Sirovich, 'Application of the Karhunen Loeve procedure for the characterization of human faces,' IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 12, pp. 103-108, 1990   DOI   ScienceOn
5 A. M. Martinez, A. C. Kak, 'PCA versus LDA,' IEEE Transaction. IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 23, pp. 228-233, 2001   DOI   ScienceOn
6 V. Govindaraju, S. N. Srihari, and D. B. Sher, 'A computational model for face location,' Proc. 3rd Int. Conf. on Computer Vision, pp. 718-721, 1990   DOI
7 P. W. Hallinan, 'Recognizing human eyes,' SPIE Proc., Geometric Methods in Computer Vision, Vol. 1570, pp. 214-226, 1991   DOI
8 H. Rowley, S. Baluja, T. Kanade, 'Neural Network Based Face Detection,' IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 20, pp. 23-38, 1998   DOI   ScienceOn
9 M. Nixon, 'Eye spacing measurement for facial recognition,' SPIE Proc., Vol. 575, pp. 279-285, 1985
10 D. Reisfeld, Y. Yeshuran, 'Roust detection of facial features by generalized symmetry,' Proc., 11th Int. Conf. on Pattern Recognition, pp. 117-120, 1992
11 I. Craw, D. Tock, A. Bennett, 'Finding face features,' Proc. 2nd Europe. Conf. on Compuer Vision, pp. 92-96, 1992   DOI
12 X.J. Wu, Y.J. Jhang, L.Z. Xia, 'A fast recurring two dimensional entropy thresholding algorithm,' Pattern Recognition 32, pp.2055-2210, 1999   DOI   ScienceOn
13 S. Yanowitz, S, A. Bruckstein, 'A new method for image segmentation,' Computer Vision Graphics and Image Processing 46, pp. 82-95, 1989   DOI
14 Y. Park, 'Shape Resolving Local Thresholding for Object Detection,' Pattern Recognition Letters, Vol. 22/8, pp. 883-890, 2001   DOI   ScienceOn
15 T. Pavlidis, 'Algorithms for Graphics and Image Processing,' Computer Science Press, 1982
16 A.M. Martinez, R. Benavente, 'The AR Face Database,' CVC Technical Report #24, June, 1998
17 박세제, 박영태, '얼굴인식을 위한 PCA, LDA, 및 정합기법의 비교', 한국정보과학회 논문집 소프트웨어 응용, Vol. 30, No. 4, 2003   과학기술학회마을
18 M. J. Conlin, 'A ruled based high level vision system,' SPIE proc., Intell. Robots and computer Vision, Vol. 726, pp. 314-320, 1986
19 A. Yuille, D. Cohen, P. Hallinan, 'Feature extraction from faces using deformable templates,' Proc., IEEE Computer Soc. Conf. on Computer Vision and Pattern Recognition, pp. 104-109, 1989   DOI
20 I. Craw, H. Ellis, J. Lishman, 'Automatic extraction of face features,' Pattern Recognition Letters, Vol. 5, pp. 183-187, 1987   DOI   ScienceOn
21 K. C. Kwok, M. K. Chan, 'Parallel DC notch filter,' Applications of Digital Image Processing XIV, SPIE Proceedings Vol. 1567, pp.709-719, 1991