DocumentCode :
2177178
Title :
Skin-Anatomy Based Face Texture Image Synthesis by Skin Feature Distribution Analyzing Method
Author :
Guo, Rui ; Takahashi, Hiroki
Author_Institution :
Grad. Sch. of Electro-Commun., Univ. of Electro-Commun., Chofu, Japan
fYear :
2010
fDate :
18-22 Aug. 2010
Firstpage :
136
Lastpage :
141
Abstract :
This paper investigates solutions to improvement of realistic rendering quality of CG (Computer Graphics) character face. In order to manipulate face skin feature distribution, based on bio-anatomic structure, skin surface is classified into 3 layers (Internal, Regular and Local layer) to control skin base color, surface cellular venation level and noise distribution like freckle, respectively. Moreover, for the feature best re-targeting from real human to virtual character, a new face segmentation method is introduced by analyzing and overlaying the appropriate feature to the deserved area. By doing all above, a specific transformation from real human face skin data to virtual character is proposed which is meaningful for the synthesis of CG texture.
Keywords :
avatars; face recognition; feature extraction; image segmentation; image texture; skin; bio-anatomic structure; computer graphics; face segmentation; freckle; noise distribution; realistic rendering quality; skin feature distribution analyzing method; skin surface; skin-anatomy based face texture image synthesis; surface cellular venation level; virtual character; Face; Humans; Image color analysis; Muscles; Noise; Pixel; Skin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on
Conference_Location :
Changchun, Jilin Province
Print_ISBN :
978-1-4244-7779-1
Type :
conf
DOI :
10.1109/FCST.2010.103
Filename :
5577329
Link To Document :
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