TY - GEN
T1 - 3d Imaging for Thermal Cameras Using Structured Light
AU - Erdozain, Jack
AU - Ichimaru, Kazuto
AU - Maeda, Tomohiro
AU - Kawasaki, Hiroshi
AU - Raskar, Ramesh
AU - Kadambi, Achuta
N1 - Funding Information:
Authors affiliated with MIT is supported by Media Lab consortium funding. Authors affiliated with Kyushu university is supported by JSPS/KAKENHI 20H00611, 18K19824, 18H04119, 16KK0151 in Japan. Achuta Kadambi is partially supported by an NSF Research Initiation Award (IIS 1849941).
PY - 2020/10
Y1 - 2020/10
N2 - Optical 3D sensing technologies are exploited for many applications in autonomous vehicles, manufacturing, and consumer products. However, existing techniques may suffer in certain challenging conditions, where scattering may occur due to particles. While the light in the visible and near IR spectrum is affected by scattering, long-wave IR (LWIR) tends to experience less scattering, especially when the particles are much smaller than the incident radiation. We propose and demonstrate the expansion of structured light scanning approaches into the LWIR spectrum using a thermal camera and black body radiation source. We then validate the results produced against ground truth scans from traditional structured light scanners. Additional means for projecting these scanning patterns are also discussed alongside potential drawbacks and challenges of this technique associated with future adoption.
AB - Optical 3D sensing technologies are exploited for many applications in autonomous vehicles, manufacturing, and consumer products. However, existing techniques may suffer in certain challenging conditions, where scattering may occur due to particles. While the light in the visible and near IR spectrum is affected by scattering, long-wave IR (LWIR) tends to experience less scattering, especially when the particles are much smaller than the incident radiation. We propose and demonstrate the expansion of structured light scanning approaches into the LWIR spectrum using a thermal camera and black body radiation source. We then validate the results produced against ground truth scans from traditional structured light scanners. Additional means for projecting these scanning patterns are also discussed alongside potential drawbacks and challenges of this technique associated with future adoption.
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U2 - 10.1109/ICIP40778.2020.9191297
DO - 10.1109/ICIP40778.2020.9191297
M3 - Conference contribution
AN - SCOPUS:85098666640
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2795
EP - 2799
BT - 2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PB - IEEE Computer Society
T2 - 2020 IEEE International Conference on Image Processing, ICIP 2020
Y2 - 25 September 2020 through 28 September 2020
ER -