DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor (bibtex)
by Tao Yu, Zerong Zheng, Kaiwen Guo, Jianhui Zhao, Qionghai Dai, Hao Li, Gerard Pons-Moll, Yebin Liu
Abstract:
We propose DoubleFusion, a new real-time system that combines volumetric dynamic reconstruction with data-driven template fitting to simultaneously reconstruct detailed geometry, non-rigid motion and the inner human body shape from a single depth camera.
Reference:
DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor (Tao Yu, Zerong Zheng, Kaiwen Guo, Jianhui Zhao, Qionghai Dai, Hao Li, Gerard Pons-Moll, Yebin Liu), In CoRR, volume abs/1804.06023, 2018.
Bibtex Entry:
@article{DBLP:journals/corr/abs-1804-06023,
	abstract = {We propose DoubleFusion, a new real-time system that combines volumetric dynamic reconstruction with data-driven template fitting to simultaneously reconstruct detailed geometry, non-rigid motion and the inner human body shape from a single depth camera.},
	author = {Tao Yu and Zerong Zheng and Kaiwen Guo and Jianhui Zhao and Qionghai Dai and Hao Li and Gerard Pons{-}Moll and Yebin Liu},
	title = {DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor},
	journal = {CoRR},
	volume = {abs/1804.06023},
	year = {2018},
	url = {http://arxiv.org/abs/1804.06023},
	archivePrefix = {arXiv},
	eprint = {1804.06023},
	timestamp = {Mon, 13 Aug 2018 16:48:24 +0200},
	biburl = {https://dblp.org/rec/bib/journals/corr/abs-1804-06023},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}
Powered by bibtexbrowser