Probabilistic facial feature extraction using joint distribution of location and texture information

Yılmaz, Mustafa Berkay and Erdoğan, Hakan and Ünel, Mustafa (2009) Probabilistic facial feature extraction using joint distribution of location and texture information. In: ISCV 2009, (Accepted/In Press)

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Abstract

In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn feature information from training data. It finds the best facial feature locations by maximizing the joint distribution of location and texture parameters. We first introduce an independence assumption. Then, we improve upon this model by assuming dependence of location parameters but independence of texture parameters.We model combined location parameters with a multivariate Gaussian for computational reasons. The texture parameters are modeled with a Gaussian mixture model. It is shown that the new method outperforms active appearance models for the same experimental setup.
Item Type: Papers in Conference Proceedings
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Mechatronics
Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Depositing User: Hakan Erdoğan
Date Deposited: 18 Nov 2009 17:25
Last Modified: 26 Apr 2022 08:52
URI: https://research.sabanciuniv.edu/id/eprint/12748

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