Scale estimation-based human face detection method

The invention discloses a scale estimation-based human face detection method. According to the method disclosed in the invention, a size of a human face on an image is estimated via human face scale estimation, the image is zoomed based on a human face scale, a suggestion frame extraction is performed rapidly via a full convolution network, and a human face detection result can be obtained via twotimes of cascaded classification and regression. According to the method, human face detection is performed based on combination of human face scale estimation and a cascaded convolution neural network, an overall calculation amount of human face detection can be reduced, overall time consumption for human face detection can be reduced, and human face detection effects can be ensured. 本发明公开了种基于尺度估计的人脸检测方法。本发明先使用人脸尺度估计对图像上人脸大小的估计，再根据人脸尺度缩放图像，使用全卷积网络快速做建议框提取，最后做两次级联的分类和回归得到人脸检测结果。本发明使用人脸尺度估计和级联卷积神经网络结合的方法做人脸检测，减少人脸检测整体的计算量，减少人脸检测整体的耗时，并且保证人脸检测的效果。