Gaze Tracking for Multimodal Human-Computer Interaction
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
A hybrid classifier for precise and robust eye detection
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
A Robust Eye Detection and Tracking Technique Using Gabor Filters
IIH-MSP '07 Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 01
Determining driver visual attention with one camera
IEEE Transactions on Intelligent Transportation Systems
A complete and fully automated face verification system on mobile devices
Pattern Recognition
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A novel eye detection algorithm based on rank order filter is proposed in this paper. Features such as eyeball is round and darker than surrounding pixels are widely used in eye detection. However quite often eyeball is distorted by iris reflection or other obstacles around eyeball. Rank order filter pair is designed to tackle these problems. One rank order filter is applied on central pixels to emphasize the darkness of the eyeball pixels and another rank order filter is applied on surrounding pixels to emphasize the brightness of the surrounding pixels. Then the difference of those two filter outputs is an important clue for eye detection, since regions near eyeball will yield large response. Those pixels of large response are selected as eyeball candidates, grouped and further verified by a series of geometric constraints. It is tested for 4095 face images with large variations in illuminations, hair styles, facial expressions and partial occlusions and detection rate as high as 98.97% is achieved.