Abstract
Constraint Shape Model is proposed to extract facial feature using two different search methods for contour points and control points individually. In the proposed algorithm, salient facial features, such as the eyes and the mouth, are first localized and utilized to initialize the shape model and provide region constraints on iterative shape searching. For the landmarks on the face contour, the edge intensity is exploited to construct better local texture matching models. Moreover, for control points, the proposed Gabor wavelet based method is used to search it by multi-frequency strategy. To test the proposed approaches, on a database containing 500 labeled face images, experiments are conducted, which shows that the proposed method performs significantly better in terms of a deliberate performance evaluation method. The proposed method can be easily used to other texture objects, which is robust to variations in illumination and facial expression.
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References
M. Kass, A. Witkin and D. Terzopoulos, “Active contour models” 1st international conference on Computer Vision, London, June 1987, pp.259–268.
L. Wiskott, J.M. Fellous, N. Kruger, C.v.d. Malsburg, Face Recogniton by Elastic Bunch Graph Matching, IEEE Trans. On PAMI, Vol.19, No. 7, 1997.
T.F. Cootes, C.J. Taylor, D.H. Cooper, and J. Graham, “Active shape models-their training and application,” Copmuter Vision and Image understanding, 61(1): pp38–59, 1995.
T. Cootes, G.J. Edwards, and C.J. Taylor, “Active appearance models,” in Proceeding of 5th European Conference on Computer Vision, 1998, vol. 2, pp.
M. Rogers & J. Graham. “Robust active shape model search.” In Proceedings of the European Conference on Computer Vision. May 2002.
B. Cao, S.G. Shan, W. Gao, Localizing the iris center by region growing search, Proceeding of the ICME2002.
Wei Wang, Shiguan Shan, etc. An Improved Active Shape Model For Face Alignment, ICMI02.
J.G. Daugman, “Two-dimensional spectral analysis of cortical receptive field profiles,” Vision Research, vol. 20, pp. 847–856, 1980.
Chengjun Liu and Harry Wechsler,“Gabor Feature Based Classification Using the Enhanced Fisher Linear Discriminant Model for Face Recognition” IEEE Trans. Image Processing vol.11 no.4 2002.
L. Wiskott, J.M. Fellous, N. Kruger, and C. von der Malsburg, “Face recognition by elastic bunch graph matching,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 775–779, 1997.
F. Smeraldi and J. Bigun. Retinal vision applied to facial features detection and face authentication. Pattern Recognition Letters, 23:463–475, 2002.
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Zhang, B., Gao, W., Shan, S., Wang, W. (2003). Constraint Shape Model Using Edge Constraint and Gabor Wavelet Based Search. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_7
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DOI: https://doi.org/10.1007/3-540-44887-X_7
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