title   
  

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)

WarningThere is a more recent version of this item available.

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
214Kb

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
ID Code:12748
Deposited By:Hakan Erdoğan
Deposited On:18 Nov 2009 17:25
Last Modified:16 Jul 2010 15:01

Available Versions of this Item

Repository Staff Only: item control page