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Proceedings Paper

Human age estimation using extended Gabor like-features
Author(s): Mohamed Y. El Dib; Bassam Sherif Abou Zaid
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Paper Abstract

Human facial features extraction is a prime task for different computer vision problems especially human age estimation. Age estimation is challenging due to age progression, extracting these features accurately are very important for better performance. This paper extends our previous work on facial age estimation that is based on the biologically inspired features (BIF). Two main technical contributions are presented: (1) we introduce a new set of Gabor features namely the Imaginary and Magnitude parts along with the commonly used real part, and (2) we analyze different facial regions using the Imaginary and Magnitude parts of Gabor features. The proposed features are tested on standard datasets showing their superiority over the state-of-the-art methods.

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82853W (1 October 2011); doi: 10.1117/12.914625
Show Author Affiliations
Mohamed Y. El Dib, Cairo Univ. (Egypt)
Bassam Sherif Abou Zaid, Cairo Univ. (Egypt)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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