Shape from Thermal Radiation: Passive Ranging Using Multi-Spectral LWIR Measurements

Yasuto Nagase, Takahiro Kushida, Kenichiro Tanaka, Takuya Funatomi, Yasuhiro Mukaigawa

CVPR 2022 pp. 12661-12671

doi:10.1109/CVPR52688.2022.01233 /cvpr/2022/nagase2022cvpr-shape/

Abstract

In this paper, we propose a new cue of depth sensing using thermal radiation. Our method realizes passive, texture independent, far range, and dark scene applicability, which can broaden the depth sensing subjects. A key observation is that thermal radiation is attenuated by the air and is wavelength dependent. By modeling the wavelength-dependent attenuation by the air and building a multi-spectral LWIR measurement system, we can jointly estimate the depth, temperature, and emissivity of the target. We analytically show the capability of the thermal radiation cue and show the effectiveness of the method in real-world scenes using an imaging system with a few bandpass filters.

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Cite

Text

Nagase et al. "Shape from Thermal Radiation: Passive Ranging Using Multi-Spectral LWIR Measurements." Conference on Computer Vision and Pattern Recognition, 2022. doi:10.1109/CVPR52688.2022.01233

Markdown

[Nagase et al. "Shape from Thermal Radiation: Passive Ranging Using Multi-Spectral LWIR Measurements." Conference on Computer Vision and Pattern Recognition, 2022.](https://mlanthology.org/cvpr/2022/nagase2022cvpr-shape/) doi:10.1109/CVPR52688.2022.01233

BibTeX

@inproceedings{nagase2022cvpr-shape,
  title     = {{Shape from Thermal Radiation: Passive Ranging Using Multi-Spectral LWIR Measurements}},
  author    = {Nagase, Yasuto and Kushida, Takahiro and Tanaka, Kenichiro and Funatomi, Takuya and Mukaigawa, Yasuhiro},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2022},
  pages     = {12661-12671},
  doi       = {10.1109/CVPR52688.2022.01233},
  url       = {https://mlanthology.org/cvpr/2022/nagase2022cvpr-shape/}
}