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

Yasuto Nagase, Takahiro Kushida, Kenichiro Tanaka, Takuya Funatomi, Yasuhiro Mukaigawa; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 12661-12671

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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[bibtex]
@InProceedings{Nagase_2022_CVPR, author = {Nagase, Yasuto and Kushida, Takahiro and Tanaka, Kenichiro and Funatomi, Takuya and Mukaigawa, Yasuhiro}, title = {Shape From Thermal Radiation: Passive Ranging Using Multi-Spectral LWIR Measurements}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12661-12671} }