Human body three-dimensional imaging method and system

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.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional imaging, and in particular relates to a method and system for realizing three-dimensional imaging of a human body through distributed network control, and a simultaneous calibration method for multiple control base stations. Background technique [0002] Phase-assisted 3D imaging has the advantages of non-contact, fast speed, high precision, and high data density. It is widely used in industrial production fields such as reverse engineering, quality control, and defect detection. Generally, in industrial applications, a single 3D sensing system is used to achieve omnidirectional 3D imaging of objects through moving objects or sensing systems, which is often difficult to automate and takes too long. This solution is often difficult to apply to 3D imaging of human bodies. On the one hand, these human bodies have a large area and need to obtain 3D data from multiple angles; Quickly complet...

AI Technical Summary

Problems solved by technology

Generally, in industrial applications, a single 3D sensing system is used to realize omnidirectional 3D imaging of objects through moving objects or sensing systems, which is often difficult to automate and takes too long

This solution is often difficult to apply to 3D imaging of human bodies. On the one hand, these human bodies have a large area and need to obtain 3D data from multiple angles; Fast completion of 3D data acquisition

At present, the existing three-dimensional imaging systems of the human body mainly include: laser-based handheld and mechanical motion device scanning systems. The handheld imaging system realizes complete data collection through multi-angle hand-held movement, which usually takes a few minutes, during which the human body is difficult to maintain. Stationary; and imaging systems based on mechanical motion devices often require human body rotation or large mechanical motion control devices, which are bulky and cumbersome

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