Title :
A novel eye detection algorithm utilizing edge-related geometrical information
Author :
Asteriadis, S. ; Nikolaidis, N. ; Hajdu, A. ; Pitas, I.
Author_Institution :
Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
Abstract :
A novel method for eye detection and eye center localization, based on geometrical information is described in this paper. First, a face detector is applied to detect the facial region, and the edge map of this region is extracted. A vector pointing to the closest edge pixel is then assigned to every pixel. Length and slope information for these vectors is used to detect the eyes. For eye center localization, intensity information is used. The proposed method can work on low-resolution images and has been tested on two face databases with very good results.
Keywords :
edge detection; eye; face recognition; feature extraction; vectors; edge map; edge pixel; edge-related geometrical information; eye center localization; eye detection; face detector; intensity information; length information; slope information; vector; Databases; Detectors; Face; Glass; Image edge detection; Training; Vectors;
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence
