Paper
26 September 2013 Sampling great circles at their rate of innovation
Author Affiliations +
Abstract
In this work, we show that great circles, the intersection of a plane through the origin and a sphere centered at the origin, can be perfectly recovered at their rate of innovation. Specifically, we show that 4K(8K − 7) + 7 samples are sufficient to perfectly recover K great circles, given an appropriate sampling scheme. Moreover, we argue that the number of samples can be reduced to 2K(4K − 1) while maintaining accurate results. This argument is supported by our numerical results. To improve the robustness to noise of our approach, we propose a modification that uses all the available information, instead of the critical amount. The increase in accuracy is demonstrated using numerical simulations.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Samuel Deslauriers-Gauthier and Pina Marziliano "Sampling great circles at their rate of innovation", Proc. SPIE 8858, Wavelets and Sparsity XV, 88580V (26 September 2013); https://doi.org/10.1117/12.2023863
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Spherical lenses

Optical spheres

Reconstruction algorithms

Numerical simulations

Signal processing

Signal to noise ratio

Matrices

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