A dynamical systems novel approach for accurate human eyes location. Issue 1 (1st February 2017)

• Record Type: Journal Article
• Authors: Wu, Tunhua; Wang, Ping; Yin, Shengnan; Lin, Yezhi
• Is Part Of: Journal of difference equations and applications. Volume 23:Issue 1/2(2017)
• Page Start: 401
• Page End: 415
• Publication Date: 2017-02-01
• Subjects: Retinex algorithm -- Hough transform -- FCM clustering -- C-V Model -- level set; 35Q68 -- 68T45; Difference equations -- Periodicals; 515.625
• DOI: 10.1080/10236198.2016.1238469
• Languages: English
• ISSNs: 1023-6198

Abstract

Abstract: To accurately locate human eye features, such as eye contours, iris boundaries and the coordinates of pupil centers and canthi, a hierarchical approach was proposed. First, an AdaBoost based eye detector was trained for extracting the sub-images containing eyes areas, and the sub-images were enhanced by single-scale Retinex algorithm. Second, the pupil centers and iris boundaries were located by gradient Hough circle transform in the sub-images. Third, the eyes areas were segmented by FCM clustering for constructing the initial signed distance function which was the Level Set function of C-V Model. Finally, the eye contours and canthi were located using C-V Model. With the combination of FCM clustering and C-V Model, the convergent speed of C-V Model was increased by 64.1% on the Purdue AR face test set, while the locating accuracy was increased by 8.3%. This approach is immune to complicated background and illumination changes, showing its high robustness. Results prove the efficiency of this approach.