Size calibration device and method for three-dimensional model

Abstract

The embodiment of the invention provides a size calibration device and methodthree-dimensional model . The three-dimensional model size calibration device comprises a plurality of mark points arrangedon a target object or around the target object; the collection area of the image collection device moves relative to the target object so as to acquire a plurality of images of the target object, andat least one part of the plurality of images comprises mark points; and the processor is used for synthesizing a 3D model of the target object according to at least one part of images in the plurality of images, recognizing the mark points in the at least one part of images, and obtaining the coordinates or sizes of the 3D model of the target object according to the coordinates or sizes of the mark points. The calibration efficiency is improved by optimizing the shape of the calibration mark.

Description

technical field [0001] The invention relates to the technical field of shape measurement, in particular to the technical field of 3D shape measurement. Background technique [0002] At present, when using a visual method for 3D acquisition and measurement, the camera is usually rotated relative to the target object, or multiple cameras are set around the target object for simultaneous acquisition. For example, the DigitaL EmiLy project of the University of Southern California uses a spherical bracket to fix hundreds of cameras at different positions and angles on the bracket to achieve 3D acquisition and modeling of the human body. However, in either way, the distance between the camera and the target object needs to be short, at least within the range that can be arranged, so that the camera can collect images of the target object at different positions. [0003] However, in some applications, it is not possible to collect images around the target object. For example, whe...

AI Technical Summary

Problems solved by technology

However, it is difficult to measure the target in an open space. For example, it is necessary to collect 3D information of streets, traffic intersections, buildings, tunnels, traffic flow, etc. (not limited to this)

This makes this method difficult to work

Even for fixed smaller objects, such as furniture, human body parts, etc., although the size can be measured in advance, this method is still subject to major limitations: the size of the object is difficult to accurately determine, especially in some applications where the object needs to be measured. Frequent replacement, each measurement brings a lot of extra workload, and requires professional equipment to accurately measure irregular targets

Measurement errors lead to camera position setting errors, which will affect the speed and effect of acquisition and synthesis; the accuracy and speed need to be further improved

[0007] Although the existing technology also has an optimization method for the surrounding acquisition equipment, when the acquisition direction of the camera of the 3D acquisition synthesis equipment and the direction of its rotation axis deviate from each other, the prior art does not have a better optimization method

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