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Proceedings Paper

Generation method for face image based on model
Author(s): Jingbo Zhang; Guilin Zhang
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Paper Abstract

On the basis of facial geometrical feature and muscle model, this paper represents a generation method adapted to two-dimension human images. The method uses a feature mesh model to describe facial components accurately, and makes the displacement of contour feature point the parameter of facial image morphing and expression synthesis. At the same time, It controls interact relation between facial components and variety of facial contour by using a face integral modal. The result of experiments shows that the facial images generated by this algorithm are accurate, and the expression effect is more natural.

Paper Details

Date Published: 21 September 2001
PDF: 8 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441492
Show Author Affiliations
Jingbo Zhang, Huazhong Univ. of Science and Technology (China)
Guilin Zhang, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)

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