Detection of characteristic eye points in non-ideal light conditions

Authors: Joanna Wiśniewska, Grzegorz Galiński

Detection of characteristic eye points under challenging light conditions is a
non-trivial task. Difficulty of this task increase even more when low resolution images are used. This presentation introduce an adaptive solution for detection of characteristic eye points in mentioned conditions. First, light normalization algorithm is performed. Then, face and eye detection followed by determination of eye status (namely: open or closed) is done. Finally, an adaptive method for pupil and eye corners detection is developed by comparing some existing methods. Experimental results show the outperformance of the proposed method.