DocumentCode :
3049000
Title :
Age Simulation in Young Face Images
Author :
Liang, YiXiong ; Li, Chengrong ; Yue, Hongqiang ; Luo, Yangyu
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing
fYear :
2007
fDate :
6-8 July 2007
Firstpage :
494
Lastpage :
497
Abstract :
In this paper, an example-based aging simulation method is proposed for modeling the age effects on young images. The technique is based upon a statistical appearance model and age trajectories. The statistical appearance model is designed to capture the appearance variations due to the aging effect in the young images and the age trajectories provide a statistical definition of facial changes with age that are biologically consistent across a sample population. SVM is trained to predict the age of subject in the test image and the appearance parameters at the target age can be obtained according to the estimated age and age trajectories and then the desired image can be reconstructed. Experimental results show that the proposed age transformation method can effectively change the age of face images and produce plausible, near photo-quality images.
Keywords :
face recognition; image reconstruction; optical images; statistical analysis; support vector machines; SVM-based age functions; age effects modeling; age trajectories; age transformation method; aging simulation method; facial changes; image reconstruction; photo-quality images; statistical aging model; statistical appearance model; young face images; Aging; Biological system modeling; Face; Humans; Image reconstruction; Prototypes; Shape; Support vector machines; Terrorism; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
Type :
conf
DOI :
10.1109/ICBBE.2007.130
Filename :
4272614
Link To Document :
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