PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Probabilistic automatic red eye detection and correction
Jutta Willamowski and Gabriela Csurka
In: The 18th International Conference on Pattern Recognition (2006) IEEE Computer Society Press , pp. 762-765. ISBN 0-7695-2521-0

Abstract

In this paper we propose a new probabilistic approach to red eye detection and correction. It is based on stepwise refinement of a pixel-wise red eye probability map. Red eye detection starts with a fast non red eye region rejection step. A classification step then adjusts the probabilities attributed to the detected red eye candidates. The correction step finally applies a soft red eye correction based on the resulting probability map. The proposed approach is fast and allows achieving an excellent correction of strong red eyes while producing a still significant correction of weaker red eyes.

EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:2256
Deposited By:Gabriela Csurka
Deposited On:11 October 2006