Real-Time Detection and Measurement of Eye Features from Color Images
AbstractThe accurate extraction and measurement of eye features is crucial to a variety of domains, including human-computer interaction, biometry, and medical research. This paper presents a fast and accurate method for extracting multiple features around the eyes: the center of the pupil, the iris radius, and the external shape of the eye. These features are extracted using a multistage algorithm. On the first stage the pupil center is localized using a fast circular symmetry detector and the iris radius is computed using radial gradient projections, and on the second stage the external shape of the eye (of the eyelids) is determined through a Monte Carlo sampling framework based on both color and shape information. Extensive experiments performed on a different dataset demonstrate the effectiveness of our approach. In addition, this work provides eye annotation data for a publicly-available database. View Full-Text
Externally hosted supplementary file 1
Description: The eye feature annotation of the UMFD dataset is available online at https://drive.google.com/folderview?id=0Bwn_NrD78q_Td3VjOXA2c183UHM&usp=sharing
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Borza, D.; Darabant, A.S.; Danescu, R. Real-Time Detection and Measurement of Eye Features from Color Images. Sensors 2016, 16, 1105.
Borza D, Darabant AS, Danescu R. Real-Time Detection and Measurement of Eye Features from Color Images. Sensors. 2016; 16(7):1105.Chicago/Turabian Style
Borza, Diana; Darabant, Adrian S.; Danescu, Radu. 2016. "Real-Time Detection and Measurement of Eye Features from Color Images." Sensors 16, no. 7: 1105.
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