ATTENTION: This is a web archive! The IMS Group was split up in 2018 and does not exist anymore. Recent work of former members can be found at the VR/AR Group and the Computer Vision Group.

Interactive Media Systems, TU Wien

Kalman Filtering for Robust Identification of Face Images with Varying Expressions and Lighting Conditions

By Horst Eidenberger

Abstract

We propose a novel algorithm for the identification of faces from image samples. The algorithm uses the Kalman filter to identify significant face features. We employ the Kalmanfaces approach on a database of face images that show a variety of different expressions and were recorded under varying lighting conditions. Kalmanfaces show robustness against distortion and outperform the classic Eigenfaces approach in terms of identification performance and algorithm speed.

Reference

H. Eidenberger: "Kalman Filtering for Robust Identification of Face Images with Varying Expressions and Lighting Conditions"; Talk: IAPR ICPR 2006, Hongkong, China; 08-13-2006 - 08-15-2006; in: "IAPR ICPR 2006 Proceedings", (2006).

BibTeX

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