A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions

New York, NY June 17-June 22

DOI Bookmark:

http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.26

2006 IEEE Computer Society Conference ...

	This Article
	PURCHASE ARTICLE: $19 PDF HTML IEEE Xplore Subscribers
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Michael De Smet Articles by Rik Fransens Articles by Luc Van Gool

	ASCII Text	x
	Michael De Smet, Rik Fransens, Luc Van Gool, "A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 2, pp. 1423-1430, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), 2006.

	BibTex	x
	@article{ 10.1109/CVPR.2006.26, author = {Michael De Smet and Rik Fransens and Luc Van Gool}, title = {A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions}, journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on}, volume = {2}, year = {2006}, issn = {1063-6919}, pages = {1423-1430}, doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.26}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on TI - A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions SN - 1063-6919 SP1423 EP1430 A1 - Michael De Smet, A1 - Rik Fransens, A1 - Luc Van Gool, PY - 2006 KW - null VL - 2 JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on ER -

Michael De Smet, K.U.Leuven ESAT-PSI, Leuven, Belgium

Rik Fransens, K.U.Leuven ESAT-PSI, Leuven, Belgium

Luc Van Gool, K.U.Leuven ESAT-PSI, Leuven, Belgium

This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3D morphable face model to approximate the appearance of a face in an image. Simultaneously, a visibility map is computed which segments the image into visible and occluded regions. The visibility map is incorporated into a probabilistic image formation model as a set of spatially correlated random variables. This leads to a Generalized Expectation-Maximization algorithm in which the estimation of the morphable model related parameters is interleaved with visibility computations. The validity of the algorithm is verified by a face recognition experiment using images from the publicly available AR Face Database.

Citation:

Michael De Smet, Rik Fransens, Luc Van Gool, "A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions," cvpr, vol. 2, pp.1423-1430, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), 2006

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.