1 October 2011 Human age estimation using extended Gabor like-features
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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82853W (2011) https://doi.org/10.1117/12.914625
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
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.
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Mohamed Y. El Dib, Mohamed Y. El Dib, Bassam Sherif Abou Zaid, Bassam Sherif Abou Zaid, } "Human age estimation using extended Gabor like-features", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82853W (1 October 2011); doi: 10.1117/12.914625; https://doi.org/10.1117/12.914625
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