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Proceedings Paper

Scalar-field reconstruction algorithms using plenoptic cameras
Author(s): Chris Clifford; Brian Thurow
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Paper Abstract

Several volumetric reconstruction algorithms are surveyed and evaluated using plenoptic images of a burner flame. Automatic generation of static and dynamic masks is implemented to limit the scope of the reconstruction problem. Volumetric reconstructions of the flame are performed using all surveyed algorithms with a number of plenoptic cameras ranging from one to four. Simultaneous Algebraic Reconstruction Technique (SART), a reconstruction algorithm widely used in medical imaging, is identified as the most promising algorithm of those surveyed. When combined with inter-iteration minimization of L1 Total Variation (TV-L1), SART-TV reconstructions of a burner flame are shown to be smooth, circular, and uniform. Two-camera reconstructions recover the approximate shape of the flame, yielding qualitative information about the flame structure. Three-and four-camera yield the full three-dimensional flame structure.

Paper Details

Date Published: 3 September 2019
PDF: 7 pages
Proc. SPIE 11102, Applied Optical Metrology III, 1110215 (3 September 2019); doi: 10.1117/12.2529284
Show Author Affiliations
Chris Clifford, Auburn Univ. (United States)
Brian Thurow, Auburn Univ. (United States)

Published in SPIE Proceedings Vol. 11102:
Applied Optical Metrology III
Erik Novak; James D. Trolinger, Editor(s)

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