3D Scene Estimation with Perturbation-Modulated Light and Distributed Sensors
CVPR Workshops（2014）
摘要
In this paper, we present a framework to roughly reconstruct the 3D occupancy scenario of an indoor space using color-controllable light and distributed color sensors. By applying randomly generated perturbation patterns onto the input of the LED fixtures, and measuring the changes of the sensor readings, we are able to recover the light transport model (LTM) of the room. Then a variant of the inverse Radon transform is applied on the LTM to reconstruct the 3D scene. The reconstructed scene by our algorithm can faithfully reveal the occupancy scenario of the indoor space, while preserving the privacy of human subjects. An occupancy-sensitive lighting system can be designed based on this technique.
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关键词
human subjects privacy preservation,inverse radon transform,light transport model,occupancy-sensitive lighting system,data privacy,occupancy scenario,lighting,3d scene estimation,led fixtures,radon transforms,perturbation-modulated light,3d occupancy scenario reconstruction,occupancy scenario, controllable light, light transport model, inverse radon transform, 3d reconstruction,image reconstruction,randomly generated perturbation patterns,3d reconstruction,inverse transforms,distributed color sensors,indoor space occupancy scenario,distributed sensors,color-controllable light,controllable light,room ltm,color,light emitting diodes,sensors
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