DocumentCode :
436457
Title :
Human face image warping based on local constraints
Author :
Su, Chen ; Lin, Ni
Author_Institution :
Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
Volume :
2
fYear :
2004
fDate :
31 Aug.-4 Sept. 2004
Firstpage :
897
Abstract :
This paper proposes an algorithm of face image warping based on local constraints. Our method firstly specifies a limited number of feature points as the center of deformation, then finds their locations in transformed image and calculates their influencing radiuses respectively, after then calculates the geometric transformation of pixels within influencing areas according to local warping formula, finally calculates pixel gray values by means of bi-linear interpolation. Experimental results show that this approach is flexible, simple, fast and efficient.
Keywords :
face recognition; feature extraction; interpolation; bi-linear interpolation; face image warping; feature point; human face image recognition; pixel geometric transformation; Convolution; Digital images; Face recognition; Humans; Image recognition; Interpolation; Pixel; Scattering; Signal processing algorithms; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
Type :
conf
DOI :
10.1109/ICOSP.2004.1441464
Filename :
1441464
Link To Document :
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