Ding Gangyi
28 Papers
25 Citations
Ding Gangyi is an academic researcher. The author has contributed to research in topics: Frame (networking) & Key frame. The author has an hindex of 3, co-authored 28 publications.
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Papers
Patent
Large-scale square literature performance virtual arrangement simulation system
Ding Gangyi,Huang Tianyu,Li Lijie,Li Peng,Liang Dong,Tang Mingxiang +5 more
- 05 Jul 2019
TL;DR: In this paper, a large-scale square art performance virtual arrangement simulation system is described, which comprises a large scale scene prop simulation module and a largescale crowd performance simulation module, and is characterized in that the largescale scene prop simulator is used for creating, editing and managing a scene prop model and creating scene prop animations; the large scale crowd simulation module is used to create, edit and manage a single person model and a crowd model in a scene.
10
Patent
Modular virtual stage
Ding Gangyi,Huang Tianyu,Li Lijie,Li Peng,Liang Dong,Tang Mingxiang +5 more
- 09 Jul 2019
TL;DR: In this paper, a modular virtual stage consisting of a stage modeling unit, a three-dimensional simulation unit, stage data extraction and output unit and a data collaboration unit is presented, in which the stage modelling unit decomposes a stage designed by stage designers into stage modules and sets parameters of the stage modules to realize stage modeling.
8
Patent
Stage performance assisted training method and system based on augmented reality technology
Zhang Rui,Yan Shuo,Zheng Guan,Longfei Zhang,Hongsong Li,Ding Gangyi,Huang Tianyu,Li Lijie,Li Peng +8 more
- 16 Mar 2016
TL;DR: In this article, a stage performance assisted training method and system based on augmented reality technology is presented, which is able to detect the standard of an action of a user wearing a wearable display helmet.
4
Patent
Crowd performance error detection method based on deep learning
Ding Gangyi,Huang Tianyu,Li Lijie,Li Peng,Tang Mingxiang,Liang Dong,Zhu Yumeng +6 more
- 10 Jul 2020
TL;DR: In this paper, the authors proposed a crowd performance error detection method based on deep learning, which comprises a preview simulation step, a performance data collection step, an actor trajectory data processing step, and an error detection step.
1
Patent
Crowd performance scene rehearsal system based on deep learning
Tang Mingxiang,Ding Gangyi,Huang Tianyu,Li Lijie,Li Peng,Liang Dong +5 more
- 26 Jun 2020
TL;DR: In this paper, an on-site rehearsal system based on deep learning is proposed for crowd performance scene rehearsal, which is used for carrying out onsite rehearsal according to rehearsal simulation data generated by a rehearsal simulation system.
1