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

Nagase, Yasuto; Kushida, Toshimoto; Tanaka, Kenichiro; Funatomi, Takuya; Mukaigawa, Yasuhiro

doi:10.1109/cvpr52688.2022.01233

Cited by 6 publications

(2 citation statements)

References 49 publications

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“…S6 in supplement 1). The difference in X and Y contrast is attributed to the uncorrected non-uniformity contrast error and the associated Narcissus effect, which is common in IR detectors [17]. The corresponding image from the FZP is shown in figure 3(d).…”

Section: Optical Characterizationmentioning

confidence: 99%

Multilevel diffractive lens in the MWIR with extended depth-of-focus and wide field-of-view

Menon¹,

Hayward²,

Qadri³

et al. 2023

Preprint

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Optics in the mid-wave-infra-red (MWIR) band are generally heavy, thick and expensive. Here, we demonstrate multi-level diffractive lenses; one designed using inverse design approaches and another using the conventional propagation phase (the Fresnel zone plate or FZP) with diameter = 25um and focal length = 25um operating at $\lambda=4\thinspace\mu$m. We fabricated the lenses by optical lithography and characterized their performance. We show that the inverse-designed MDL achieves larger depth-of-focus and better off-axis performance when compared to the the FZP at the expense of larger spot size and reduced focusing efficiencies. Both lenses are flat with thickness <=0.5mm and weigh <= 3.63g, which are far smaller than their conventional refractive counterparts.

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Section: Optical Characterizationmentioning

confidence: 99%

Multilevel diffractive lens in the MWIR with extended depth-of-focus and wide field-of-view

Menon¹,

Hayward²,

Qadri³

et al. 2023

Preprint

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show abstract

“…The system was later tested with a jet engine [28]. A recent demonstration [29] showed ranging of hot objects around 323-363 K using water vapor absorption around 8 µm.…”

Section: Absorption-based Rangingmentioning

confidence: 99%

Absorption-Based Ranging from Ambient Thermal Radiation without Known Emissivities

Gallastegi

Rueda-Chacon

Stevens

et al. 2022

Conference on Lasers and Electro-Optics

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Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image

Shin

Park

Lee

et al. 2023

Machine Vision and Applications

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

Cited by 6 publications

References 49 publications

Multilevel diffractive lens in the MWIR with extended depth-of-focus and wide field-of-view

Multilevel diffractive lens in the MWIR with extended depth-of-focus and wide field-of-view

Absorption-Based Ranging from Ambient Thermal Radiation without Known Emissivities

Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image

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