Year: 2019
Type: article
Abstract: We present a novel time-resolved light transport decomposition method using thermal imaging. Because the speed of heat propagation is much slower than the speed of light propagation, the transient transport of far infrared light can be observed at a video frame rate. A key observation is that the thermal image looks similar to the visible light image in an appropriately controlled environment. This implies that conventional computer vision techniques can be straightforwardly applied to the thermal image. We show that the diffuse component in the thermal image can be separated, and therefore, the surface normals of objects can be estimated by the Lambertian photometric stereo. The effectiveness of our method is evaluated by conducting real-world experiments, and its applicability to black body, transparent, and translucent objects is shown.
Language: English
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,045
Awards: Light field reconstruction for estimating shape and BRDF, G3749601547, Visibility Enhancement of Concealed Appearance by Acquiring and Analysis of Indirect Light Transport, Time-correlated vision: computer vision technologies using nanosecond time-correlated images, Active 3D Sensing Using Optical Measurement and Signal Processing Technologies, Reconstruction of Shape and Material of Objects based on Photometric Analysis using Images, CRII: RI: Computational Thermal Imaging, Spatio-temporal modulation imaging toward measurements of shape and physical properties
OpenAlex ID: W2995960656