Book chapter
3D face recognition using an adaptive non uniform face mesh
Depth Map and 3D Imaging Applications: Algorithms and Technologies, pp.562-573
Information Science Reference
2012
Abstract
Face recognition using 3D faces has become widely popular in the last few years due to its ability to overcome recognition problems encountered by 2D images. An important aspect to a 3D face recognition system is how to represent the 3D face image. In this chapter, it is proposed that the 3D face image be represented using adaptive non-uniform meshes which conform to the original range image. Basically, the range image is converted to meshes using the plane fitting method. Instead of using a mesh with uniform sized triangles, an adaptive non-uniform mesh was used instead to reduce the amount of points needed to represent the face. This is because some parts of the face have more contours than others, hence requires a finer mesh. The mesh created is then used for face recognition purposes, using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Simulation results show that an adaptive non-uniform mesh is able to produce almost similar recognition rates compared to uniform meshes but with significant reduction in number of vertices.
Details
- Title
- 3D face recognition using an adaptive non uniform face mesh
- Authors
- Wei Jen Chew (Author) - University of Nottingham Malaysia CampusKah Phooi Seng (Author) - University of Nottingham Malaysia CampusLi-Minn Ang (Author) - University of Nottingham Malaysia Campus
- Contributors
- Aamir Saeed Malik (Editor) - Universiti Teknologi PetronasTae Sun Choi (Editor) - Gwangju Institute of Science and TechnologyHumaira Nisar (Editor) - Universiti Tunku Abdul Rahman
- Publication details
- Depth Map and 3D Imaging Applications: Algorithms and Technologies, pp.562-573
- Publisher
- Information Science Reference
- Date published
- 2012
- DOI
- 10.4018/978-1-61350-326-3.ch029; 10.4018/978-1-61350-326-3
- ISBN
- 9781613503270
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
- Language
- English
- Record Identifier
- 99513895502621
- Output Type
- Book chapter
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