Abstract：The accuracy of eye center localization is reduced due to the low resolution of input image, poor lighting condition, side face and eyes status. To handle this issue, an improved support vector regression (SVR) method is proposed to detect the eye center based on the facial feature localization. Several image processing techniques are tried to improve the accuracy. Results show that the SVR combining a Gaussian filter achieves a better accuracy.
张婉绮, 王志永, 刘洪海,. 基于改进SVR的眼睛中心定位方法[J]. 模式识别与人工智能, 2019, 32(1): 17-23.
ZHANG Wanqi, WANG Zhiyong, LIU Honghai. Eye Center Localization Based on Improved SVR. , 2019, 32(1): 17-23.
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2019, Vol. 32 
