Three-dimensional imaging method and system for human body

Abstract

The invention belongs to the technical field of three-dimensional imaging, and provides a three-dimensional imaging method and system for a human body and a simultaneous calibration method for multiple control base stations. Under the condition that spatial overlap does not exist in effective view fields of all distributed sensors, the structural parameters and the global matching parameters of all the sensors are calibrated. By using the corresponding point searching method with phase shift combined with random structured light, the image collection time for obtaining single-viewpoint depth data is shortened. By using the thought of time multiplexing, the whole data collection time of the system is compressed, due to the design of distributed computing, the computing power of the whole system is enhanced, and the speed for data acquisition is increased. According to the calibrated global matching parameters of all the different sensors, the depth data of the different sensors are matched automatically. The system can be debugged and expanded conveniently, the automation degree is high, and the three-dimension scanning process is easy to implement.

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 ima

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