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