关键词: 遮挡人脸检测, 机器学习, 深度学习, 形变模型

Abstract:

In recent years, with the application of the face detection gradually towards realistic scenes, the occlusion face detection has become one of the hot topics in the field of computer vision. There are some difficult problems to be faced and solved urgently due to the feature damage and noise aliasing caused by occlusion. This paper reviews the research process of the face detection under the occlusion conditions, and divides detection methods into two series according to the different feature construction. One is the classical method based on hand crafted features and the other is the modern method based on deep learning. Their basic principles, model performance properties and existing problems of different algorithms are compared and analyzed. Furthermore, the research directions in the future are discussed.

Key words: occluded face detection, machine learning, deep learning, deformation model