title: Real-Time Detection and Measurement of Eye Features from Color Images.
abstract: The 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.
authors.affiliation: Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului Street, Cluj Napoca 400114, Romania. borza_diana@yahoo.com.
authors.forename: Diana
authors.initials: D
authors.lastname: Borza
authors.affiliation: Computer Science Department, Babes Bolyai University, 58-60 Teodor Mihali, C333, Cluj Napoca 400591, Romania. adrian.darabant@tvarita.ro.
authors.forename: Adrian Sergiu
authors.initials: AS
authors.lastname: Darabant
authors.affiliation: Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului Street, Cluj Napoca 400114, Romania. Radu.Danescu@cs.utcluj.ro.
authors.forename: Radu
authors.initials: R
authors.lastname: Danescu
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods; D005143:Eyelids; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007498:Iris; D009010:Monte Carlo Method; D011680:Pupil
keywords: eye center localization; eyelid segmentation; iris segmentation; sclera segmentation; shape analysis