The Application of Virtual Samples in Face Recognition

Li Ying Lang; Zi Min Bao

doi:10.4028/www.scientific.net/AMM.44-47.3134

Paper Titles

The Strengthened Mechanism of X70 Pipeline Steel Welded Joints by Laser Shock Processing
p.3114

Use ANN to Solve Function Regression Problem in Manufacturing
p.3119

Optimization of Wireless Body Area Networks Model in Clonal Selection Quantum Genetic Algorithm
p.3125

Determining Method of Optimization Region of Quadrilateral Meshes Based on Viewpoints
p.3130

The Application of Virtual Samples in Face Recognition
p.3134

Build a "Computer Network Technology" Teaching Model Based on Work Process
p.3138

Project Team Formation Based on Knowledge and Cooperation Degree
p.3143

A Variable Parameters Cross-Coupled Control Based on Differential Evolution Optimization in Crankpin Non-Circular Grinding
p.3148

Medical Image Retrieval by Fuzzy Set Based Geometric Relationships
p.3154

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 44-47The Application of Virtual Samples in Face...

The Application of Virtual Samples in Face Recognition

Abstract:

In this paper, it conducted a study on increasing the virtual image to improve recognition rate, and gave a simple and effective algorithm that simulated the approximate image which producted by the change of human face gesture. The experiments based on the FERET face DataBases showed that the method that this paper presented played a important role on improving the recognition rate.

You might also be interested in these eBooks

Frontiers of Manufacturing and Design Science

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 44-47)

Pages:

3134-3137

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.44-47.3134

Citation:

Cite this paper

Online since:

December 2010

Authors:

Li Ying Lang, Zi Min Bao

Keywords:

Face Recognition, Image Registration, Virtual Sample

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Chellappa R, Wilson C, Sirohey S. Human and Machine Recognition of Faces; A Survey, Proc IEEE, (1995), 83(5) ; 705-740.

DOI: 10.1109/5.381842

Google Scholar

[2] Yangjian Zhang D, Frangi F, etal. Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition. IEEE trans on PAMI, (2004), 26(1); 131-137.

DOI: 10.1109/tpami.2004.1261097

Google Scholar

[3] CVL FACE DATABSE. http: /www. lrv. fri. uni-lj. si/facedb. html.

Google Scholar

[4] Peter N.B., Joao P.H. and David J.K. Eigenfaces vs. FPatten Analysis and Machine Intelligence, 19(7): 711-720. (1997).

Google Scholar

[5] Kim Tae-Kyun, Kirn Hyunwoo, Hwang Wonjun. Et al. Independent Component Analysis in a Fcial Local Residue Space. CVPR' (2003).

DOI: 10.1109/cvpr.2003.1211406

Google Scholar