Deep Volumetric Video From Very Sparse Multi-View Performance Capture (bibtex)
by Zeng Huang, Tianye Li, Weikai Chen, Yajie Zhao, Jun Xing, Chloe LeGendre, Chongyang Ma, Linjie Luo, Hao Li
Abstract:
We present a deep learning-based volumetric capture approach for performance capture using a passive and highly sparse multi-view capture system.
Reference:
Deep Volumetric Video From Very Sparse Multi-View Performance Capture (Zeng Huang, Tianye Li, Weikai Chen, Yajie Zhao, Jun Xing, Chloe LeGendre, Chongyang Ma, Linjie Luo, Hao Li), In European Conference on Computer Vision (ECCV), 2018.
Bibtex Entry:
@inproceedings{Huang18ECCV,
	abstract = {We present a deep learning-based volumetric capture approach for performance capture using a passive and highly sparse multi-view capture system.},
	title = {Deep Volumetric Video From Very Sparse Multi-View Performance Capture},
	url = {http://linjieluo.com/publications/deep-volumetric-video-from-very-sparse-multi-view-performance-capture/},
	author = {Zeng Huang and Tianye Li and Weikai Chen and Yajie Zhao and Jun Xing and Chloe LeGendre and Chongyang Ma and Linjie Luo and Hao Li},
	booktitle = {European Conference on Computer Vision (ECCV)},
	year = {2018}
}
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