Pupil Localization for Multi-view Eyeballs

This paper describes a pupil localization approach that is capable of processing multi-view eyeball under natural light environment.In the proposed method,the Adaboost algorithm is used to detect human face and the multi-resolution ASM method is used to locate the facial feature points.Then eye images can be obtained by four eye's feature points.After the location of the eyes,a sliding window technique is employed to analyze the eyes' gray information distribution.The local area covered by the sliding window with lowest gray intensity is assumed to be the pupil candidate area.Finally,a similar local area analysis technique is developed to adjust the position of the pupil candidate area.Experiments on multi-view eyeballs show that the proposed method can effectively localize the pupil no matter the pupil is complete or incomplete.