A facial texture generation method using curvature-reflected size-variable block matching
- Authors
- Jang, S.-W.; Chung, M.-A.; Kim, G.-Y.
- Issue Date
- 2013
- Publisher
- International Information Institute Ltd.
- Keywords
- Block matching; Face model; Facial texture; Image registration; Mosaiking technique
- Citation
- Information (Japan), v.16, no.8 B, pp.6315 - 6324
- Journal Title
- Information (Japan)
- Volume
- 16
- Number
- 8 B
- Start Page
- 6315
- End Page
- 6324
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/12087
- ISSN
- 1343-4500
- Abstract
- Generating natural facial textures is a significant technique in 3D human face modeling. In this paper, we propose an ellipsoidal face model-based image registration method to generate realistic facial textures. The suggested algorithm registers multiple 2D face images captured in different views with size-variable block matching that reflects both left-and-right and up-and-down face curvatures. For accurate block matching, the algorithm simultaneously considers color and texture features. It then employs weighting factor-based mosaiking and ghosting artifact elimination techniques to generate natural facial textures from registered images. Experimental results are given to demonstrate that the suggested ellipsoidal face model-based image registration algorithm can perform more effectively than other conventional registration approaches. © 2013 International Information Institute.
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