Age progression based on facial aging patterns

Author

Hegu, Piyush D. ; Suryawanshi, Pradhnya J.

Author_Institution

Electron. Eng., Priyadarshini Coll. of Eng. & Tech., Yavatmal, India

fYear

2012

fDate

30-31 March 2012

Firstpage

16

Lastpage

21

Abstract

Age progression based on facial aging patterns is an important problem that has not been widely addressed. This project is based on studying the problem by designing and evaluating discriminative approaches. First, find the gradient orientation (GO) which provides an effective representation. This representation is further improved when hierarchical information is used, which results in the use of the gradient orientation pyramid (GOP), which is then combined with SVM (Support vector machine) to give better performance. These experiments are conducted on the FGnet dataset and two large passport datasets.

Keywords

biometrics (access control); gradient methods; image processing; support vector machines; age progression; discriminative approaches; facial aging patterns; gradient orientation pyramid; hierarchical information; support vector machine; Bayesian methods; Databases; Face; Glass; Support vector machines; Face verification; age progression; aging; biometrics; gradient orientation pyramid; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on

Conference_Location

Nagapattinam, Tamil Nadu

Print_ISBN

978-1-4673-0213-5

Type

conf

Filename

6215965