Description: 使用OPENCV库提供的接口，实现人脸的识别功能。
在一个人脸识别系统中，应用多种预处理技术对将要识别的图片进行标准化处理是极其重要的。多数人脸识别算法对光照条件十分敏感，所以假如在暗室训练，在明亮的房间就可能不会被识别出来等等。比如脸部也应当在图片的一个十分固定的位置（比如眼睛位置为相同的像素坐标），固定的大小，旋转角度，头发和装饰，表情（笑，怒等），光照方向（向左或向上等），这就是在进行人脸识别前，使用好的图片预处理过滤器十分重要的原因。你还应该做一些其它事情，比如去除脸部周围的多余像素（如用椭圆遮罩，只显示其内部的人脸区域而不是头发或图片背景，因为他们的变化多于脸部区域）。(Using the interface provided by the OPENCV library, the face recognition function is realized.
In a human face recognition system, it is very important to use a variety of preprocessing techniques to standardize the pictures to be recognized. Most face recognition algorithms are very sensitive to light conditions, so if they are trained in a dark room, they may not be recognized in a bright room. Such as the face should also be in a picture is a fixed position (such as eye position for the same pixel coordinates), fixed size, rotation angle, hair and decoration, expression (laughter, anger), light direction (left or upward), which is in face recognition, the use of good the image preprocessing filter very important reason. You should also do some other things, such as the removal of redundant pixels around the face (such as elliptical mask, showing only the face region rather than the internal hair or picture background, because they change more than the face area).) Platform: |
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Author:小女百合
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