Shape from bandwidth: the 2-D orthogonal projection case

Could bandwidth—one of the most classic concepts in signal processing—have a new purpose? In this paper, we investigate the feasibility of using bandwidth to infer shape from a single image. As a first analysis, we limit our attention to orthographic projection and assume a 2-D world. We show that, under certain conditions, a single image of a surface, painted with a bandlimited texture, is enough to deduce the surface up to an equivalence class. This equivalence class is unavoidable, since it stems from surface transformations that are invisible to orthographic projections. A proof of concept algorithm is presented and tested with both a simulation and a simple practical experiment.


Published in:
Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing
Presented at:
The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, March 5-9, 2017
Year:
2017
Publisher:
New York, Ieee
ISBN:
978-1-5090-4117-6
Keywords:
Laboratories:




 Record created 2017-01-04, last modified 2018-09-13

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