DocumentCode
3049768
Title
Eyeglasses try-on based on improved poisson equations
Author
Li, Juan ; Yang, Jie
Author_Institution
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2011
fDate
26-28 July 2011
Firstpage
3058
Lastpage
3061
Abstract
In this paper we propose an image-based eyeglasses try-on method, which can be used in e-commerce. The proposed method combines an improved active shape model feature extration algorithm with an image composition algorithm, producing a natural facial image with eyeglasses specified by users. To preserve the color fidelity of the eyeglasses on the resulting image, a new variational model was proposed. The output image was obtained by solving the modified Poisson equations. Experimental results show that the eyeglasses image was blended into the facial image seamlessly, producing natural eyeglasses try-on effects.
Keywords
Poisson equation; electronic commerce; face recognition; feature extraction; image segmentation; lenses; shape recognition; active shape model feature extraction algorithm; e-commerce; image blending; image composition algorithm; image-based eyeglasses try-on method; improved Poisson equation; natural facial image; Equations; Face; Feature extraction; Image color analysis; Mathematical model; Poisson equations; Three dimensional displays; Feature points location; Image composition; Poisson equation;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6003059
Filename
6003059
Link To Document