ML Anthology

Exploring the Resolution Limit for In-Air Synthetic-Aperture Audio Imaging

Hisham Bedri, Micha Feigin, Petros T. Boufounos, Ramesh Raskar
ICCVW 2015 pp. 677-682
doi:10.1109/ICCVW.2015.92 /iccvw/2015/bedri2015iccvw-exploring/

Abstract

SONAR imaging can detect reflecting objects in the dark and around corners, however many SONAR systems require large phased-arrays and immobile equipment. In order to enable sound imaging with a mobile device, one can move a microphone and speaker in the air to form a large synthetic aperture. We demonstrate resolution limited audio images using a moving microphone and speaker of a mannequin in free-space and a mannequin located around a corner. This paper also explores the 2D resolution limit due to aperture size as well as the time resolution limit due to bandwidth, and proposes Continuous Basis Pursuits (CBP) to super-resolve.

ICCVW Semantic Scholar

Cite

Text

Bedri et al. "Exploring the Resolution Limit for In-Air Synthetic-Aperture Audio Imaging." IEEE/CVF International Conference on Computer Vision Workshops, 2015. doi:10.1109/ICCVW.2015.92

Markdown

[Bedri et al. "Exploring the Resolution Limit for In-Air Synthetic-Aperture Audio Imaging." IEEE/CVF International Conference on Computer Vision Workshops, 2015.](https://mlanthology.org/iccvw/2015/bedri2015iccvw-exploring/) doi:10.1109/ICCVW.2015.92

BibTeX

@inproceedings{bedri2015iccvw-exploring,
  title     = {{Exploring the Resolution Limit for In-Air Synthetic-Aperture Audio Imaging}},
  author    = {Bedri, Hisham and Feigin, Micha and Boufounos, Petros T. and Raskar, Ramesh},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2015},
  pages     = {677-682},
  doi       = {10.1109/ICCVW.2015.92},
  url       = {https://mlanthology.org/iccvw/2015/bedri2015iccvw-exploring/}
}