Virtual Reality, Augmented Reality and Mixed Reality on the Marketing of Film and Television Creation Industry

Ge, Rui; Chen, Hsuan‐Yu; Hsiao, Tsung-Chih; Chang, Yu-Tzu; Wu, Zhenyu

doi:10.1007/978-3-030-63941-9_38

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…Timedomain convolution is derived from RNN and LSTM. e study in [21] avoids the fact that RNN networks cannot be processed in parallel in the time domain, and the gradient length between the input and output is fixed so that the input sequences of different lengths can be trained stably without gradient vanishing and exploding. e network also employs null convolution to obtain long time-domain information without being limited to the top and bottom frames.…”

Section: Time-domain Map Convolutionmentioning

confidence: 99%

Deep-Learning-Based Motion Capture Technology in Film and Television Animation Production

Wei

2022

Security and Communication Networks

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With the popularity of King Kong, Pirates of the Caribbean 2, Avatar, and other films, the virtual characters in these films have become popular and well loved by audiences. The creation of these virtual characters is different from traditional 3D animation but is based on real character movements and expressions. An overview of several mainstream motion capture systems in the field of motion capture is presented, and the application of motion capture technology in film and animation is explained in detail. The current motion capture technology is mainly based on complex human markers and sensors, which are costly, while deep-learning-based human pose estimation is becoming a new option. However, most existing methods are based on a single person or picture estimation, and there are many challenges for video multiperson estimation. The experimental results show that a simple design of the human motion capture system is achieved.

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Section: Time-domain Map Convolutionmentioning

confidence: 99%

Deep-Learning-Based Motion Capture Technology in Film and Television Animation Production

Wei

2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

Virtual Reality, Augmented Reality and Mixed Reality on the Marketing of Film and Television Creation Industry

Cited by 1 publication

References 9 publications

Deep-Learning-Based Motion Capture Technology in Film and Television Animation Production

Deep-Learning-Based Motion Capture Technology in Film and Television Animation Production

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