期刊
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
卷 43, 期 6, 页码 2075-2085出版社
IEEE COMPUTER SOC
DOI: 10.1109/TPAMI.2019.2959304
关键词
Cameras; Infrared heating; Scattering; Thermal decomposition; Transient analysis; Computer vision; Photothermal effects; photometry; transient analysis; image decomposition
资金
- JSPS KAKEN [JP18H03265, JP18K19822, JP26700013, JP15H05918, JP17J05602]
- NSF Research Initiation Award [IIS 1849941]
The method proposed in this study utilizes thermal imaging for time-resolved light transport decomposition, demonstrating its effectiveness and applicability through real-world experiments on black body, transparent, and translucent objects.
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.
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