使用OpenCV进行人脸检测以获取非正面图像 [英] Face Detection with OpenCV for non frontal images

问题描述

我正在尝试使用opencv来检测人脸.面部不是正面的，相机会从侧面捕获面部，因此只能看到一只眼睛和嘴巴的一部分.我尝试了具有多种配置的HaarDetectObjects，但没有获得收益.我更改了级联，并进行了测试: haarcascade_frontalface_default.xml，haarcascade_frontalface_alt.xml，haarcascade_profileface.xml具有非常差的结果.还有其他更好的级联吗?还有其他建议吗?

I am trying to use opencv to detect faces. Faces are not frontal, the camera captured the faces from side so only one eye and part of the mouth is viewed. I tried HaarDetectObjects with multiple configurations without getting benefit. I changed the cascade and I tested: haarcascade_frontalface_default.xml, haarcascade_frontalface_alt.xml,haarcascade_profileface.xml with very bad results. Are there any other better cascades? Are there other suggestions?

谢谢

推荐答案

现在，您在OpenCV中拥有由Vadim Pisarevsky创建的用于轮廓面的新LBP级联:

Now you have in OpenCV the new LBP cascade for profile faces, created by Vadim Pisarevsky:

https://github.com/Itseez/opencv/blob/master/data/lbpcascades/lbpcascade_profileface.xml

显然，它只能检测到正确的轮廓脸，因此要检测所有轮廓脸，必须在图像翻转后进行第二步.

Apparently, it only detects right profile faces, so to detect all profile faces one has to run a second step with the image flipped.

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