Shape from bandwidth: The 2-D orthogonal projection case

Adam Scholefield; Benjamín Béjar Haro; Martin Vetterli

ICASSP 2017accepted0 citations

Shape from bandwidth: The 2-D orthogonal projection case

Adam Scholefield, Benjamín Béjar Haro, Martin Vetterli

Abstract

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.

BibTeX

@inproceedings{icassp2017_shapefrombandwid,
  title = {Shape from bandwidth: The 2-D orthogonal projection case},
  author = {Adam Scholefield and Benjamín Béjar Haro and Martin Vetterli},
  booktitle = {ICASSP 2017},
  year = {2017}
}