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

IEEE Conference on Computer Vision and Pattern Recognition(2022)

引用 6|浏览8
暂无评分
摘要
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 ob-servation 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.
更多
查看译文
关键词
Physics-based vision and shape-from-X, Computational photography
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要