摘要
复杂光照条件会引起人脸表面的光照分布不均匀,出现局部过亮、过暗和反光等问题,给后续人眼定位带来较大影响。为了提高复杂光照条件下人眼定位的准确率,提出一种先定位人脸再定位人眼的方法,该方法首先采用高斯肤色模型结合人脸先验知识定位人脸区域,对所得人脸区域进行自适应连续均值量化变换增强,最后结合连通域分析对人眼进行定位。实验结果表明,该方法对复杂识别率较高,对头部姿势及面部表情等的变化具有一定的鲁棒性。
The complex illumination conditions can cause a problem of uneven distribution of light on face surface which makes parts of face image bright, dark or reflective and bring great influence on subsequent eye location.To increase the accuracy of eye location under complex illumination, a method which locates face before eyes is proposed. Gaussian skin model is built to locate face region with the help of prior knowledge.And a self-adaptive successive mean quantization transform image enhancement algorithm is used to enhance the face region. Eyes are located by analyzing the connected component. The results showed that this method has a high rate of eye detection under complex illumination conditions and it is robust to complex posture and variant expression.
出处
《电子测试》
2013年第3期25-27,共3页
Electronic Test
关键词
复杂光照
人眼定位
自适应连续均值量化变换
Complex illumination
eye location
self-adaptive successive mean quantization transform
