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
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;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6003059