Proceedings Ninth IEEE International Conference on Computer Vision 2003
DOI: 10.1109/iccv.2003.1238626
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Photo-consistent 3D fire by Flame-Sheet decomposition

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Cited by 28 publications
(26 citation statements)
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“…It is useful to quantitatively characterize the internal structures of flame. In 2003, Hasinoff and Kutulakos [3] presented a photo-consistent reconstruction method which reduces fire reconstruction to the convex combination of sheet-like density fields. It is easy to implement two-view reconstruction, but multi-view (more than two views) reconstruction has very high computational complexity.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…It is useful to quantitatively characterize the internal structures of flame. In 2003, Hasinoff and Kutulakos [3] presented a photo-consistent reconstruction method which reduces fire reconstruction to the convex combination of sheet-like density fields. It is easy to implement two-view reconstruction, but multi-view (more than two views) reconstruction has very high computational complexity.…”
Section: Related Workmentioning
confidence: 99%
“…However, they also have two significant problems. On the one hand, twoview reconstruction methods, such as multiplication and flame sheet generation [3] are easy to implement but yield poor visual effects. Multi-view (>2) reconstruction methods generate 3D modeling accurately but are high timeconsuming due to computational complexity.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Results were mainly shown for synthetic problems, but even for those, the quality of interpolated views was limited. Similarly, the iterative voxel reconstruction approach presented in [16] gave results unsuitable for view synthesis, whereas [17] is more appropriate for volumetric scenes that are semi-transparent everywhere. Mixed pixels for stereo §4.…”
Section: Previous Workmentioning
confidence: 99%
“…There has been some work done on estimating transparency from stereo data in general terms [6,16,17]. In [6], transparency was estimated in a volumetric fashion along with depth, using a plane-sweep algorithm, generalized to a four-dimensional xydα search space.…”
Section: Previous Workmentioning
confidence: 99%