Incrementally Learning Human Pose Mapping Model
增量式人体姿态映射模型的学习方法

Dicriminative approaches to 3D human pose estimation directly learn a mapping from image observations to pose,which requires large training sets.Gaussian process regression(GPR) to learn this mappings has been limited for high computational complexity,so we proposed a incrementally learning mappings based on GPR and Locally Weighted Projection Regression(LWPR).The approach utilized GPR to learn individual local models and LWPR to update exis-ting models or learn a new local model for pose estimation.The exp...