Edge projections for eye localization

Mehmet Turkan; Montse Pardas; A. Enis Cetin

doi:10.1117/1.2902437

Translator Disclaimer

1 April 2008 Edge projections for eye localization

Mehmet Turkan, Montse Pardas, A. Enis Cetin

Author Affiliations +

Optical Engineering, 47(4), 047007 (2008). https://doi.org/10.1117/1.2902437

Abstract

An algorithm for human-eye localization in images is presented for faces with frontal pose and upright orientation. A given face region is filtered by a highpass wavelet-transform filter. In this way, edges of the region are highlighted, and a caricature-like representation is obtained. Candidate points for each eye are detected after analyzing horizontal projections and profiles of edge regions in the highpass-filtered image. All the candidate points are then classified using a support vector machine. Locations of each eye are estimated according to the most probable ones among the candidate points. It is experimentally observed that our eye localization method provides promising results for image-processing applications.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Mehmet Turkan, Montse Pardas, and A. Enis Cetin "Edge projections for eye localization," Optical Engineering 47(4), 047007 (1 April 2008). https://doi.org/10.1117/1.2902437

Published: 1 April 2008

ACCESS THE FULL ARTICLE