Projection Analysis Optimization for Human Transition Motion Estimation. (2nd June 2019)

• Record Type: Journal Article
• Authors: Li, Wanyi; Zhang, Feifei; Chen, Qiang; Zhang, Qian
• Other Names: Wang Jintao Academic Editor.
• Is Part Of: International journal of digital multimedia broadcasting. Volume 2019(2019)
• Publication Date: 2019-06-02
• Subjects: Multimedia communications -- Periodicals; Digital audio broadcasting -- Periodicals; Mobile communication systems -- Periodicals; Digital audio broadcasting; Mobile communication systems; Multimedia communications; Periodicals; 621.382
• DOI: 10.1155/2019/6816453
• Languages: English
• ISSNs: 1687-7578

Abstract

Abstract : It is a difficult task to estimate the human transition motion without the specialized software. The 3-dimensional (3D) human motion animation is widely used in video game, movie, and so on. When making the animation, human transition motion is necessary. If there is a method that can generate the transition motion, the making time will cost less and the working efficiency will be improved. Thus a new method called latent space optimization based on projection analysis (LSOPA) is proposed to estimate the human transition motion. LSOPA is carried out under the assistance of Gaussian process dynamical models (GPDM); it builds the object function to optimize the data in the low dimensional (LD) space, and the optimized data in LD space will be obtained to generate the human transition motion. The LSOPA can make the GPDM learn the high dimensional (HD) data to estimate the needed transition motion. The excellent performance of LSOPA will be tested by the experiments.