by Zheng, Zerong, Yu, Tao, Li, Hao, Guo, Kaiwen, Dai, Qionghai, Fang, Lu and Liu, Yebin
Abstract:
We propose a light-weight yet highly robust method for real-time human performance capture based on a single depth camera and sparse inertial measurement units (IMUs).
Reference:
HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs: 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part IX (Zheng, Zerong, Yu, Tao, Li, Hao, Guo, Kaiwen, Dai, Qionghai, Fang, Lu and Liu, Yebin), Chapter in , 2018.
Bibtex Entry:
@inbook{inbook,
abstract = {We propose a light-weight yet highly robust method for real-time human performance capture based on a single depth camera and sparse inertial measurement units (IMUs).},
author = {Zheng, Zerong and Yu, Tao and Li, Hao and Guo, Kaiwen and Dai, Qionghai and Fang, Lu and Liu, Yebin},
year = {2018},
month = {09},
pages = {389-406},
title = {HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs: 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part IX},
url = {https://www.researchgate.net/publication/328121755_HybridFusion_Real-Time_Performance_Capture_Using_a_Single_Depth_Sensor_and_Sparse_IMUs_15th_European_Conference_Munich_Germany_September_8-14_2018_Proceedings_Part_IX},
isbn = {978-3-030-01239-7},
doi = {10.1007/978-3-030-01240-3_24}
}