Calibration method for 3D modeling of long-distance target object based on continuous shooting

Abstract

The invention provides a calibration method for 3D modeling of a long-distance target object based on continuous shooting. The calibration method comprises the following steps: (1) selecting a calibration object A which is arranged at a distance away from a target object B; (2) shooting a plurality of images of the calibration object A by using acquisition equipment; (3) moving and / or rotating the whole acquisition equipment, and continuously shooting until the target object B is moved and / or rotated to enter the field of view of the acquisition equipment; (4) acquiring a plurality of images of the target object B by the acquisition equipment; wherein a plurality of calibration points are arranged on the calibration object; and calibrating the coordinates of the target object according to the coordinates of the plurality of calibration points. According to the method, absolute size calibration of a long-distance target object is achieved through a continuous shooting method in the moving or rotating process.

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, and hundreds of cameras are fixed at different positions and angles on the bracket, so as to realize 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. F...

AI Technical Summary

Problems solved by technology

However, in practical applications, it is found that unless there is an accurate angle measurement device, the user is not sensitive to the angle, and it is difficult to determine the angle accurately; the size of the target object is difficult to accurately determine, such as the scene constructed by the 3D model of the above-mentioned riverside house

And the measurement error leads to the camera position setting error, which will affect the acquisition and synthesis speed and effect; the accuracy and speed need to be further improved

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