A pixel-based correspondence method is presented for representation of facial images. The proposed method consists of two modules: face-image matching and face-image morphing. In the face-image matching module, the correspondence between two images are calculated for all pixel locations. A novel area-based matching method is proposed that makes use of the concept of the fractal dimension, and develops a non-parametric local transform as a basis for establishing correspondence between two face images. In the face-image morphing module, a mapping is performed for deformation of the source face image onto the target face image. This is done to map the pixels in the source face image to the location of their corresponding pixels in the target image.
From Proceedings of ICIG'2000 First International Conference on Image and Graphics--Image and Graphic Technology Toward 21st Century and Beyond
Field of Research
080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio Economic Objective
0 Not Applicable
HERDC Research category
C3 Non-refereed articles in a professional journal
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