A method for verifying the accuracy of skeleton establishment of photographic scanning equipment

Abstract

Provided is a validation method for framework establishment precision of photographing-type scanning equipment. The method mostly comprises two parts including length standard calibration and a framework establishment method. The method comprises following steps: firstly, adhering length standard devices for labeling points to two ends, placing them on two sides of a plotting scale, utilizing a camera to photograph the plotting scale and the length standard devices, calculating a framework and measuring distance between labeling points at two ends of each length standard device and recording; replacing placing sequences of the length standard devices and repeating photographing for 3 times in total, recording distance value between labeling points at two ends of each length standard device and determining length standard devices to calibrate; and finally, placing the plotting scale and the length standard devices calibrated around large-size parts and photographing with a camera and calculating the overall framework. The validation method for framework establishment precision of photographing-type scanning equipment has following beneficial effects: after the overall framework is set up by large-size parts, the precision of the framework is rapidly validated; precision errors existing in the framework are timely founded and the framework is re-set up; and errors of the framework is prevented from taking into point cloud data.

Description

technical field [0001] The invention relates to an accuracy verification method, in particular to an accuracy verification method for establishing a skeleton when a photographic scanning device scans a large-size component. Background technique [0002] Photo scanning equipment is one of the important devices for data reverse. It can quickly obtain the point cloud of the surface of the object and provide basic data for later data reverse. It has a wide range of applications in modeling design, benchmarking reference and quality inspection involved in the automotive industry. Before scanning large-scale parts, it is necessary to paste recognizable marking points on the part first, and then use a camera to take pictures from the side where the scale is placed and go around the part. The photos taken form an image collection of the three-dimensional range of the part, and then the The establishment software calculates the overall skeleton of the component by identifying the ide...

AI Technical Summary

Problems solved by technology

If there is a problem with the accuracy of the skeleton, the surface point cloud data of the subsequent scans will deviate, which will lead to errors in the design data and cause serious consequences

[0003] At present, photographic scanning equipment is generally equipped with two scales. When scanning large-sized parts to establish the overall skeleton, the scale can only be placed on one side of the part, and the scale cannot be moved during the photographing process, which may cause errors on the side away from the scale. Accumulated, resulting in the deviation of the overall skeleton accuracy, which is not easy to detect, and is usually found through dimension measurement or digital-analog alignment after the surface scanning of the component is completed

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