A new Approach to Bayesian Method for Face Recognition

Len Bui, Dat Tran, Xu Huang, Girija Chetty

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

In this paper, we propose a new approach to Bayesian subspace method for face recognition. We review this method and point out some weak points in its assumptions and propose a practical solution to overcome those weak points. In addition, we present an efficient way to estimate the high dimensional Gaussian density function.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition IPCV'12
EditorsHamid R Arabnia, Leonidas Deligiannidis
Place of PublicationUSA
PublisherCSREA Press
Pages547-553
Number of pages7
Volume1
ISBN (Print)9781601322232, 9781601322259
Publication statusPublished - 2012
Event16th International Conference on Image Processing, Computer Vision & Pattern Recognition - Las Vegas, Las Vegas, United States
Duration: 16 Jul 201219 Jul 2012
https://worldacademyofscience.org/worldcomp12/ws/conferences/ipcv12/General%20Information.html

Conference

Conference16th International Conference on Image Processing, Computer Vision & Pattern Recognition
Abbreviated titleIPCV 2012
CountryUnited States
CityLas Vegas
Period16/07/1219/07/12
Internet address

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  • Cite this

    Bui, L., Tran, D., Huang, X., & Chetty, G. (2012). A new Approach to Bayesian Method for Face Recognition. In H. R. Arabnia, & L. Deligiannidis (Eds.), Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition IPCV'12 (Vol. 1, pp. 547-553). CSREA Press. http://worldcomp-proceedings.com/proc/p2012/IPC4645.pdf