在应用 OpenCV 的 Viola-Jones 方法进行人脸检测之前，我应该考虑哪些预处理图像技术？
我正在学校从事一个有关人脸检测的项目，该项目基于 Viola 和 Jones 2001/2004 描述的技术。
我读到 OpenCV 有这个算法的实现，而且效果非常好。
我想知道在测试人脸是否存在之前（例如直方图均衡化），您是否对对图像应用哪些技术（预处理）有任何建议？
I am working for a project at school regarding face detection, based on a technique described by Viola and Jones 2001/2004.
I've read that the OpenCV has an implementation of this algorithm, and it works very good.
I was wondering if you have any advices regarding what techniques (pre-processing) to apply to the images before testing the existence of a face (eg. histogram equalization) ?
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我基本上使用了来自 OpenCV 页面的 示例程序 中的代码，它非常适合我硕士论文项目。如果你得到不好的结果或者你的照明很奇怪，你可以尝试直方图均衡。
I basically used the code from this sample program from the OpenCV page and it worked very well for my masters thesis project. If you get bad results or your lighting is strange you can try a histogram equalization.
我和一个朋友在一个大学项目中也做了类似的事情，特别是在低分辨率视频序列上，它确实有助于对帧进行上采样，使其大小加倍。这是我朋友的主意，他们之前参加过图像处理课程。尽管是等效的，但诸如减小初始扫描窗口大小、水平和垂直步长之类的事情并没有产生相同的结果。换句话说，使用较大的扫描窗口处理较大的图像可能比使用较小的扫描窗口处理较小的图像更好。不知道具体原因。
再见 ;-）
with a friend I did something similar too for an university project, and especially on low resolution video sequences it really helped to upsample the frame, doubling its size. It was my friends' idea, who had previously taken an image processing class. Although equivalent, things like decreasing initial scan window size, horizontal and vertical steps didn't produce the same result. In other words it may be better to work on larger images with larger scan windows than on smaller with smaller scan windows. Don't know exactly why.
Bye ;-)
我知道已经太晚了。但也请访问此网站。
它谈到了图像所需的常见预处理。均衡图像、编辑无关内容等
I know its too late. But do go through this site as well.
It speaks of the common pre-proccessing required for the images. Equalising the image, Editing irrelevant content etc