The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
3D Face Recognition using an Adaptive Non-Uniform Face Mesh
|
|
Author(s): Wei Jen Chew (The University of Nottingham, Malaysia), Kah Phooi Seng (The University of Nottingham, Malaysia)and Li-Minn Ang (The University of Nottingham, Malaysia)
Copyright: 2012
Pages: 12
Source title:
Depth Map and 3D Imaging Applications: Algorithms and Technologies
Source Author(s)/Editor(s): Aamir Saeed Malik (Universiti Teknologi Petronas, Malaysia), Tae Sun Choi (Gwangju Institute of Science and Technology, Korea)and Humaira Nisar (Universiti Tunku Abdul Rahman, Malaysia)
DOI: 10.4018/978-1-61350-326-3.ch029
Purchase
|
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.
Related Content
|
Fahim Anzum, Ashratuz Zavin Asha, Lily Dey, Artemy Gavrilov, Fariha Iffath, Abu Quwsar Ohi, Liam Pond, Md. Shopon, Marina L. Gavrilova.
© 2024.
46 pages.
|
|
Naomi Dassi Tchomte, Franklin Tchakounte, Ismael Abbo.
© 2024.
42 pages.
|
|
Wyclife Ong'eta.
© 2024.
13 pages.
|
|
Gabbi Evrard Tchoukouegno De Mofo, Ali Joan Beri Wacka, Franklin Tchakounte, Jean Marie Kuate Fotso.
© 2024.
22 pages.
|
|
Cecile Simo Tala.
© 2024.
31 pages.
|
|
Ismael Abbo, Naomi Dassi Tchomte.
© 2024.
20 pages.
|
|
Stones Dalitso Chindipha.
© 2024.
22 pages.
|
|
|