通過(guò)基于gaboreye模型的人眼定位方法實(shí)現(xiàn)人臉定位與識(shí)別-畢業(yè)論文

1、廈門大學(xué)軟件學(xué)院畢業(yè)論文 廈門大學(xué)軟件學(xué)院畢業(yè)論文本科畢業(yè)論文 本科畢業(yè)論文(科研訓(xùn)練、畢業(yè)設(shè)計(jì))題 目： 目：通過(guò)基于 GaborEye 模型的人眼定位方法實(shí)現(xiàn)人臉定位與識(shí)別姓 名：學(xué) 院：軟件學(xué)院系：軟件工程專 業(yè)：軟件工程年 級(jí)： 學(xué) 號(hào)：指導(dǎo)教師（校內(nèi)）： 職稱： 年 月廈門大學(xué)本科畢業(yè)論文第 3 頁(yè) 共 32 頁(yè)P(yáng)upil Localization Method

2、 Based On GaborEye Model And Radial Symmetry Operator Realization Face Localization And Recognition[Abstract] In the area of human face locating, methods using a GaborEye model has been developed very soon。The eyes a

3、re the most important facial landmarks on the human face. The accuracy of face normalization, which is critical to the performance of the following face analysis steps, depends on the locations of the two eyes, as well a

4、s their relatively constant interocular distance. A novel GaborEye model for eye localization. Based on the special gray distribution in the eye-and-brow region, a proper Gabor kernel is adaptively chosen to convolute w

5、ith the face image to highlight the eye-and-brow region, which can be exploited to segment the two pupil regions efficiently. After getting the region of the pupil, a fast radial symmetry operator is used to locate the c

6、enter of the pupil. Extensive experiments show that the method can accurately locate the pupils, and it is robust to the variations of face poses, expressions, accessories and illuminations.The pupil localization method