An adept segmentation algorithm and its application to the extraction of local regions containing fiducial points

Authors:
Erhan AliRiza İnce;Syed Amjad Ali
Affiliations:
Electrical and Electronic Engineering, Eastern Mediterranean University, Famagusta, North Cyprus;Electrical and Electronic Engineering, Eastern Mediterranean University, Famagusta, North Cyprus
Venue:
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Year:
2006

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Abstract

Locating human fiducial points like eyes and mouth in a frontal head and shoulder image is an active research area for applications such as model based teleconferencing systems, model based low bit rate video transmission, computer based identification and recognition systems. This paper proposes an adept and efficient rule based skin color region extraction algorithm using normalized r-g color space. The given scheme extracts the skin pixels employing a simple quadratic polynomial model and some additional color based rules to extract possible eye and lip regions. The algorithm refines the search for fiducial points by eliminating falsely extracted feature components using spatial and geometrical representations of facial components. The algorithm described herein has been implemented and tested with 311 images from FERET database with varying light conditions, skin colors, orientation and tilts. Experimental results indicate that the proposed algorithm is quite robust and leads to good facial feature extraction.