Title :
A new method for eye extraction from facial image
Author :
Deng, Xiaoyun ; Chang, Chip-Hong ; Brandle, Erwin
Author_Institution :
Centre for High Performance Embedded Syst., Nanyang Technol. Univ., Singapore
Abstract :
In this paper we present a new approach to the problem of detecting the eyes from a still facial image. Features such as color, edges, intensity and shape are incorporated in different stages of our method. First, the face region is extracted from the image by skin-color filter and window growing. Second, eyes are approximately located by projection of gradient features in different directions. Third, the eyes could be extracted if it is required by some specific applications. Part of the AR Database has been used for experiments and benchmarking. For subjects not wearing glasses, the eyes could be correctly located in 91.56% of the images and in over 90% of these images they could be accurately extracted, while for subjects wearing glasses, the success rate is somewhat lower.
Keywords :
edge detection; face recognition; feature extraction; filtering theory; image colour analysis; benchmarking; eye extraction; facial image; gradient features; image color; image edges; image intensity; skin color filter; Eyebrows; Eyes; Face detection; Facial features; Filters; Glass; Image edge detection; Image segmentation; Mouth; Shape;
Conference_Titel :
Electronic Design, Test and Applications, Proceedings. DELTA 2004. Second IEEE International Workshop on
Conference_Location :
Perth, WA, Australia
Print_ISBN :
0-7695-2081-2
DOI :
10.1109/DELTA.2004.10048