Adaptive light field sampling and sensor fusion for smart lighting control

For the development of flexible and adaptive control in smart lighting, it is important to have a systematic methodology for monitoring the generated light field and for fusion of the sensor information. This paper introduces a systematic approach to light field sampling using a distributed sensor network. This approach is based on the multiscale representation of the light field and adaptive selection of sample locations to maximize the information obtained from the field. Experimental results have shown that a systematic selection of sensor locations can significantly reduce the error in representation of the light field with corresponding improvement in the lighting control.

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