DocumentCode :
1887639
Title :
Mesh simplification based on facial features region partition
Author :
Wang, An-Bing ; Yu, Bin ; Liu, Zhi-Jing
Author_Institution :
Coll. of Inf. Sci. & Technol., Northwest Univ., Xi´´an
fYear :
2009
fDate :
11-12 April 2009
Firstpage :
269
Lastpage :
272
Abstract :
This paper proposes a mesh simplification method based on facial features region partition for the special three-dimensional facial mesh model. According to distribution of feature points, the face is divided into several parts consisting of critical feature regional and non-critical feature regional. This method adjusts different areas using different curvature values. This algorithm also uses edge collapse method to reduce the density of meshes. As curvature is useful to enhance the shape description, the high details of key feature area are kept while other areas are simplified.
Keywords :
face recognition; feature extraction; curvature values; edge collapse method; facial features region partition; mesh density reduction; mesh simplification; shape description; Computer errors; Computer graphics; Error correction; Face; Facial animation; Facial features; Nose; Partitioning algorithms; Sampling methods; Shape; discrete curvature; edge collapse; facial feature; feature region partition; mesh simplification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
Conference_Location :
Taizhou
Print_ISBN :
978-1-4244-3987-4
Type :
conf
DOI :
10.1109/IASP.2009.5054636
Filename :
5054636
Link To Document :
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