实验结果表明，该方法具有较好的精确性和鲁棒性，能适应复杂背景下表情变化的多姿态人脸上的眼、鼻及嘴的定位。
Experimental results show that the method has very good accuracy and robustness to the face features localization with various face post and expression in the complex background.
最后，利用人眼的检测来确定是否为真正的人脸区域，同时还对眼睛和嘴的定位作了深入的研究和实验。
Finally, we further verify these regions by detecting eyes and output the result. At the same time the feature localization is researched and studied.
对候选眼、鼻及嘴区域进行筛选与合并以确定最佳位置，实现多姿态人脸上五官的准确定位。
The candidate eye, nose and mouth regions are filtered and merged to refine their location on the multi-view face.
对候选眼、鼻及嘴区域进行筛选与合并以确定最佳位置，实现多姿态人脸上五官的准确定位。
The candidate eye, nose and mouth regions are filtered and merged to refine their location on the multi-view face.
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