Scholefield, Adam JamesBejar Haro, BenjaminVetterli, Martin2017-01-042017-01-042017-01-04201710.1109/ICASSP.2017.7952869https://infoscience.epfl.ch/handle/20.500.14299/132455WOS:000414286203194Could 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.Shape estimationBandwidthWarped bandlimited signalsLCAV-IVPtext::conference output::conference proceedings::conference paper