Light Pose Calibration for Camera-light Vision Systems
- URL: http://arxiv.org/abs/2006.15389v1
- Date: Sat, 27 Jun 2020 15:56:13 GMT
- Title: Light Pose Calibration for Camera-light Vision Systems
- Authors: Yifan Song, Furkan Elibol, Mengkun She, David Nakath and Kevin K\"oser
- Abstract summary: This paper presents a novel light calibration approach by taking multi-view and -distance images of a reference plane.
The estimation of light poses is solved by minimizing the differences between real and rendered pixel intensities.
Although the results are demonstrated using a rotationally-symmetric non-isotropic light, the method is suited also for non-symmetric lights.
- Score: 6.2122699483618
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Illuminating a scene with artificial light is a prerequisite for seeing in
dark environments. However, nonuniform and dynamic illumination can deteriorate
or even break computer vision approaches, for instance when operating a robot
with headlights in the darkness. This paper presents a novel light calibration
approach by taking multi-view and -distance images of a reference plane in
order to provide pose information of the employed light sources to the computer
vision system. By following a physical light propagation approach, under
consideration of energy preservation, the estimation of light poses is solved
by minimizing of the differences between real and rendered pixel intensities.
During the evaluation we show the robustness and consistency of this method by
statistically analyzing the light pose estimation results with different
setups. Although the results are demonstrated using a rotationally-symmetric
non-isotropic light, the method is suited also for non-symmetric lights.
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