Evaluation of pupil center-eye corner vector for gaze estimation using a web cam
Proceedings of the Symposium on Eye Tracking Research and Applications
Dataset for the evaluation of eye detector for gaze estimation
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Hybrid eye detection algorithm for outdoor environments
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Hybrid method based on topography for robust detection of iris center and eye corners
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Low cost iris tracking is one of the most challenging research topics for the eye-tracking community. To this end, accurate detection of the iris centre in images captured by a web cam is a major goal. We propose a novel method for iris detection that is based on image topography using multi-resolution to detect the most stable "valley" over different resolutions, which is assumed to be the iris centre. Our algorithm was tested using the Bio ID database obtaining the best average behavior. Our algorithm functions in real time and does not require complex post processing stages.