2012/02/29 by Michał Cieśla, Michal Ciesla, Ciesla, Michal +3 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaze Tracking and Assistive Technology #Human-Computer Interaction (cs.HC) #cs.CV #cs.HC
paper · pdf · doi:10.48550/arxiv.1202.6517
11 pages, 11 figures
arxiv created 2012/02/29 · openalex publication_date 2012/02/29 · arxiv updated 2012/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Three different algorithms used for eye pupil location were described and tested. Algorithm efficiency comparison was based on human faces images taken from the BioID database. Moreover all the eye localisation methods were implemented in a dedicated application supporting eye movement based computer control. In this case human face images were acquired by a webcam and processed in a real-time.