Large-field-of-view fringe projection visual three-dimensional measurement system and method

Abstract

The invention relates to optical three-dimensional detection technologies and designs a large-field-of-view (LFOV) distributed fringe projection visual three-dimensional measurement system. The measurement range of the fringe projection visual measurement system is expanded, multi-camera synchronous distributed collection is realized, and global three-dimensional point cloud data of an object is quickly acquired. The LFOV fringe projection visual three-dimensional measurement system comprises a laser projector, four complementary metal oxide semiconductor (CMOS) industrial cameras, a computerand a target, wherein the laser projector is a high-luminance short-focus laser projector, the luminance is greater than 3,000lm, the projection ratio is smaller than 1, and projected fringes can cover effective measurement ranges of all the cameras; the four cameras are uniformly distributed in a whole field of view, and the collection ranges of the cameras cover the whole field of view; and theprojected fringes of the projector and images collected by the cameras are controlled to be synchronous by software according to a time sequence. The system is mainly applied to a three-dimensional detection occasion.

Description

technical field [0001] The invention relates to optical three-dimensional detection technology, and proposes a novel large-field distributed fringe projection three-dimensional measurement system, a novel planar target, and a novel system global calibration method using the target. Background technique [0002] The fringe projection three-dimensional measurement technology uses a projector to project fringes to the measured object. The surface shape of the object will modulate the fringes, and then the modulated fringes will be collected by the camera, and finally the three-dimensional point cloud of the object surface will be back-calculated. The measurement accuracy of the fringe projection measurement system mainly depends on its calibration accuracy. At present, the mainstream system calibration methods include photogrammetry based on matrix transformation and polynomial fitting method. The application of photogrammetry completes the system calibration by establishing th...

AI Technical Summary

Problems solved by technology

Solve the problems that the traditional fringe projection system cannot obtain global 3D point cloud data, the calibration in large field of view measurement is complicated, the efficiency is low, the accuracy is poor, and it does not meet the needs of fast and precise visual 3D measurement of large field of view, etc.

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