Videos for "Dynamic Editable Models of Fire From Video"

Videos for "Dynamic Editable Models of Fire From Video"

The video results for the PhD Thesis of Andrew Chinery, titled Dynamic Editable Models of Fire From Video. Includes results of fitting to original flames for the candle and lighter data in 3D and the lighter in 2D (one rotating, one not). Also includes results of generating new animations from existing ones.

Cite this dataset as:
Chinery, A., 2015. Videos for "Dynamic Editable Models of Fire From Video". University of Bath. https://doi.org/10.15125/BATH-00095.

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Data

21%20-%20rotating.avi
video/x-msvideo (11MB)
Creative Commons: Attribution-Share Alike 4.0

20%20-%20sameangle.avi
video/x-msvideo (16MB)
Creative Commons: Attribution-Share Alike 4.0

10%20-%20lighterfit.avi
video/x-msvideo (39MB)
Creative Commons: Attribution-Share Alike 4.0

33%20-%20pinklighter.avi
video/x-msvideo (64MB)
Creative Commons: Attribution-Share Alike 4.0

30%20-%20candlegen.avi
video/x-msvideo (56MB)
Creative Commons: Attribution-Share Alike 4.0

31%20-%20lightergen.avi
video/x-msvideo (61MB)
Creative Commons: Attribution-Share Alike 4.0

32%20-%20tallcandle.avi
video/x-msvideo (60MB)
Creative Commons: Attribution-Share Alike 4.0

00%20-%20candlefit.avi
video/x-msvideo (148MB)
Creative Commons: Attribution-Share Alike 4.0

Creators

Coverage

Temporal coverage:

2015

Documentation Files

readme.txt
text/plain (2kB)

Funders

Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266

Publication details

Publication date: 2015
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00095

URL for this record: https://researchdata.bath.ac.uk/id/eprint/95

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Andrew Chinery

Departments:

Faculty of Science
Computer Science