Abstract: The present invention relates to the technical field of three-dimensional imaging, and provides a human body three-dimensional imaging method and system, and a method for simultaneously calibrating multiple control base stations. According to the present invention, provided that the effective view fields of the various distributed sensors are subjected to no spatial overlap, the structural parameters and the global matching parameters of all the sensors are calibrated; a corresponding point search method utilizing phase shift in combination with the random structured light reduces image collection time for acquiring single view point depth data; by using the concept of time reuse, the overall data collection time is shortened, and meanwhile the design of distributed computation enhances the computing capability of the entire system; automatic matching of the depth data of different sensors is implemented according to the calibrated global matching parameters of the different sensors.

Abstract: The present invention relates to the technical field of three-dimensional imaging, and provides a human body three-dimensional imaging method and system, and a method for simultaneously calibrating multiple control base stations. According to the present invention, provided that the effective view fields of the various distributed sensors are subjected to no spatial overlap, the structural parameters and the global matching parameters of all the sensors are calibrated; a corresponding point search method utilizing phase shift in combination with the random structured light reduces image collection time for acquiring single view point depth data; by using the concept of time reuse, the overall data collection time is shortened, and meanwhile the design of distributed computation enhances the computing capability of the entire system; automatic matching of the depth data of different sensors is implemented according to the calibrated global matching parameters of the different sensors.