17 March 2021 Applied research on real-time film and television animation virtual shooting for multiplayer action capture technology based on optical positioning and inertial attitude sensing technology
Yongsheng Wang, Yifei Wang, Xu Lang
Author Affiliations +
Abstract

Nowadays, with the growing maturity of action capture technology and the increasing requirements of the game and film industry for action and shooting level, action capture technology has become more and more widely applied. In addition, virtual shooting is widely applied to many TV programs and film production. For example, the movie “The Lion King” released in 2019 was completed using virtual shooting technology. For example, the orangutan king Caesar in the movie “Rise of the Planet of the Apes” was completed by actor Andy Serkis through motion capture and expression capture. In the process of research and use, the synchronization of virtual camera motion attitude has been difficult to solve, and its accuracy needs to be improved. Furthermore, either the traditional single optical motion capture or the inertial motion capture can better tackle the multiplayer motion capture. In order to solve this problem, based on the Unity3D platform, the position of camera and virtual role is accurately located by optical positioning technology, and then inertial attitude sensing technology is used to obtain the attitude of multiple targets, achieving the integration of the optical positioning and the inertial attitude sensor. As a result, the real-time virtual shooting of multiplayer motion capture can be realized.

© 2021 SPIE and IS&T 1017-9909/2021/$28.00 © 2021 SPIE and IS&T
Yongsheng Wang, Yifei Wang, and Xu Lang "Applied research on real-time film and television animation virtual shooting for multiplayer action capture technology based on optical positioning and inertial attitude sensing technology," Journal of Electronic Imaging 30(3), 031207 (17 March 2021). https://doi.org/10.1117/1.JEI.30.3.031207
Received: 26 October 2020; Accepted: 3 February 2021; Published: 17 March 2021
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
Cameras

Televisions

Sensors

Applied research

Virtual reality

Imaging systems

Video

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