Motion Retrieval Based on 3D Spatial-Temporal Features and Decision Tree
一种高效的三维运动检索方法

With the development of Motion Capture techniques,more and more 3D motion libraries become available. In this paper,we present a novel approach for motion retrieval based on data-driven decision tree with spatial-temporal features. First the 3D time spatial features of each human joint are extracted with the help of keyspace. Given the assumption of the features of each joint is independence,data-driven decision tree is automatically constructed to present the influence of each point during the comparison o...