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Facial Texture Generation using an Image Registration Algorithm based on Ellipsoidal Prototype Model  

Lee Joong Jae (숭실대학교 컴퓨터학과)
Noh Myung Woo (숭실대학교 컴퓨터학과)
Choi Hyung Il (숭실대학교 미디어학부)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.1, 2005 , pp. 22-33 More about this Journal
Abstract
In this paper. we propose an image registration algorithm based on variable-sized blocks of ellipsoidal prototype model which is similar in shape to human face. While matching blocks, the existing cylindrical prototype model which only takes into account left and right curvature can accomplish a correct alignment on left and right images. But, registration errors are produced from up and down images because the cylindrical prototype model not reflects characteristics of head shape and jaw structure of human. The proposed method is a block matching algorithm which uses variable-sized blocks with considering left-right and up-down curvature of ellipsoidal face model and can correctly align images by using the correlation between them. We then adapt image mosaic technique to generate a face texture from aligned images. For this purpose, we stitch them with assigning linear weights according to the overlapped region and remove ghost effects to make more realistic facial texture.
Keywords
ellipsoidal prototype model; variable-sized block; correlation; face texture;
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