关键词: 三维人体姿态估计, 神经网络, 深度学习, 关键点检测, 回归与检测

Abstract:

The 3D human pose estimation is essentially a classification and regression problem. It mainly estimates the 3D human pose from images. The 3D human pose estimation based on traditional methods and deep learning methods is the mainstream research method in this field. This paper follows the traditional methods to the deep learning methods to systematically introduce the 3D human posture estimation methods in recent years, and basically understands the traditional methods to obtain the many elements of the human posture through the generation and discrimination methods to complete the 3D human posture estimation. The 3D human pose estimation method based on deep learning mainly regresses the human pose information from the image features by constructing a neural network. It can be roughly divided into three categories：based on direct regression methods, based on 2D information methods, and based on hybrid methods. In the end, it summarizes the current research difficulties and challenges, and discusses the research trends.

Key words: 3D human pose estimation, neural network, deep learning, key point detection, regression and detection