Multi-angle face detection based on gaussian mixture model and improved template matching
Chen Ming Yan, Zhengqun Wang, Yang Yang, Chunlin Xu · 2018
In order to solve the problem of template matching in face detection for a long calculation time and low face detection rate in different angles, this paper proposes a multi-angle face detection algorithm based on Gaussian mixture model and improved template matching. Before face detection, the necessary light compensation processing is performed first. Then the skin color is modeled by the Gaussian mixture model in the YCbCr color space and the candidate regions of the face are obtained through appropriate morphological processing. Finally, we can accurately mark the location of the face with multi-angle face template.