Radiative Transport Based Flame Volume Reconstruction from Videos

doi:10.1109/TVCG.2017.2712688

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Radiative Transport Based Flame Volume Reconstruction from Videos
	Shen, Liang 1,2; Zhu, Dengming 3; Nadeem, Saad 4; Wang, Zhaoqi 3; Kaufman, Arie E.4
刊名	IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
	2018-07-01
卷号	24 期号:7 页码:2209-2222
关键词	Flame volume reconstruction flame rendering flame videos radiative transport equation CCD camera synchronization
ISSN号	1077-2626
DOI	10.1109/TVCG.2017.2712688
英文摘要	We introduce a novel approach for flame volume reconstruction from videos using inexpensive charge-coupled device (CCD) consumer cameras. The approach includes an economical data capture technique using inexpensive CCD cameras. Leveraging the smear feature of the CCD chip, we present a technique for synchronizing CCD cameras while capturing flame videos from different views. Our reconstruction is based on the radiative transport equation which enables complex phenomena such as emission, extinction, and scattering to be used in the rendering process. Both the color intensity and temperature reconstructions are implemented using the CUDA parallel computing framework, which provides real-time performance and allows visualization of reconstruction results after every iteration. We present the results of our approach using real captured data and physically-based simulated data. Finally, we also compare our approach against the other state-of-the-art flame volume reconstruction methods and demonstrate the efficacy and efficiency of our approach in four different applications: (1) rendering of reconstructed flames in virtual environments, (2) rendering of reconstructed flames in augmented reality, (3) flame stylization, and (4) reconstruction of other semitransparent phenomena.
资助项目	National High Technology Research and Development Program of China (863 Program)[2015AA016401] ; National Natural Science Foundation of China[61379085] ; National Natural Science Foundation of China[61173067] ; National Natural Science Foundation of China[61532002] ; US National Science Foundation[CNS0959979] ; US National Science Foundation[IIP1069147] ; US National Science Foundation[CNS1302246] ; US National Science Foundation[NRT1633299] ; US National Science Foundation[CNS1650499]
WOS研究方向	Computer Science
语种	英语
出版者	IEEE COMPUTER SOC
WOS记录号	WOS:000433321900012
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/5236]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Shen, Liang
作者单位	1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100049, Peoples R China 4.SUNY Stony Brook, Dept Comp Sci, Stony Brook, NY 11794 USA
推荐引用方式 GB/T 7714	Shen, Liang,Zhu, Dengming,Nadeem, Saad,et al. Radiative Transport Based Flame Volume Reconstruction from Videos[J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,2018,24(7):2209-2222.
APA	Shen, Liang,Zhu, Dengming,Nadeem, Saad,Wang, Zhaoqi,&Kaufman, Arie E..(2018).Radiative Transport Based Flame Volume Reconstruction from Videos.IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,24(7),2209-2222.
MLA	Shen, Liang,et al."Radiative Transport Based Flame Volume Reconstruction from Videos".IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 24.7(2018):2209-2222.