Projection Analysis Optimization for Human Transition Motion Estimation
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 t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2019/6816453 |
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| _version_ | 1832551742952177664 |
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| author | Wanyi Li Feifei Zhang Qiang Chen Qian Zhang |
| author_facet | Wanyi Li Feifei Zhang Qiang Chen Qian Zhang |
| author_sort | Wanyi Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8238cf35fa534aacb1a63602a9b15058 |
| institution | Kabale University |
| issn | 1687-7578 1687-7586 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Digital Multimedia Broadcasting |
| spelling | doaj-art-8238cf35fa534aacb1a63602a9b150582025-02-03T06:00:35ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862019-01-01201910.1155/2019/68164536816453Projection Analysis Optimization for Human Transition Motion EstimationWanyi Li0Feifei Zhang1Qiang Chen2Qian Zhang3Department of Computer Science, Guangdong University of Education, Guangzhou, Guangdong 510303, ChinaDepartment of Computer Science, Guangdong University of Education, Guangzhou, Guangdong 510303, ChinaDepartment of Computer Science, Guangdong University of Education, Guangzhou, Guangdong 510303, ChinaDepartment of Computer Science, Guangdong University of Education, Guangzhou, Guangdong 510303, ChinaIt 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.http://dx.doi.org/10.1155/2019/6816453 |
| spellingShingle | Wanyi Li Feifei Zhang Qiang Chen Qian Zhang Projection Analysis Optimization for Human Transition Motion Estimation International Journal of Digital Multimedia Broadcasting |
| title | Projection Analysis Optimization for Human Transition Motion Estimation |
| title_full | Projection Analysis Optimization for Human Transition Motion Estimation |
| title_fullStr | Projection Analysis Optimization for Human Transition Motion Estimation |
| title_full_unstemmed | Projection Analysis Optimization for Human Transition Motion Estimation |
| title_short | Projection Analysis Optimization for Human Transition Motion Estimation |
| title_sort | projection analysis optimization for human transition motion estimation |
| url | http://dx.doi.org/10.1155/2019/6816453 |
| work_keys_str_mv | AT wanyili projectionanalysisoptimizationforhumantransitionmotionestimation AT feifeizhang projectionanalysisoptimizationforhumantransitionmotionestimation AT qiangchen projectionanalysisoptimizationforhumantransitionmotionestimation AT qianzhang projectionanalysisoptimizationforhumantransitionmotionestimation |