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Abstract
This paper presents a non-line-of-sight technique to estimate the position and temperature of an occluded object from a camera via reflection on a wall. Because objects with heat emit far infrared light with respect to their temperature, positions and temperatures are estimated from reflections on a wall. A key idea is that light paths from a hidden object to the camera depend on the position of the hidden object. The position of the object is recovered from the angular distribution of specular and diffuse reflection component, and the temperature of the heat source is recovered from the estimated position and the intensity of reflection. The effectiveness of our method is evaluated by conducting real-world experiments, showing that the position and the temperature of the hidden object can be recovered from the reflection destination of the wall by using a conventional thermal camera.
Highlights
Measuring objects that are hidden from the view of a camera is an important problem in many research fields such as robotic vision, autonomous driving, medical imaging, and remote sensing
Non-line-of-sight (NLOS) imaging is a technique to deal with the problem, which reconstructs the position, shape, and reflectance of the hidden objects from indirect light paths
We propose a passive NLOS imaging technique using far infrared (FIR) light
Summary
Measuring objects that are hidden from the view of a camera is an important problem in many research fields such as robotic vision, autonomous driving, medical imaging, and remote sensing. Non-line-of-sight (NLOS) imaging is a technique to deal with the problem, which reconstructs the position, shape, and reflectance of the hidden objects from indirect light paths. The indirect light paths including reflection from the hidden objects can be a clue to recover images of the NLOS scene, such an inverse problem is a challenging task. Because all thermal objects radiate FIR light with respect to their temperature, any object in the real world can be regarded as a light source in the FIR wavelengths. We realized this makes the inverse problem simpler. We can formulate it as the onebounce problem, in which a light ray is assumed to be
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