High-precision orientation and orientation accuracy evaluation method of large-scale dynamic photogrammetry system

Abstract

The invention provides a high-precision orientation and orientation accuracy evaluation method of a large-scale dynamic photogrammetry system, comprising the steps of: a) selecting a reference ruler, and arranging code points at both ends of the reference ruler to measure its length; b) In the measurement space, move the scale and adjust the posture of the scale in the first way, and take pictures of it in the second way; c) perform preliminary relative positioning and orientation on the measurement system; d) use multi-length constraints to limit Self-calibration beam adjustment, adjustment parameters include principal point, principal distance, radial distortion, eccentric distortion, in-plane distortion, external orientation parameters and spatial point coordinates; e) Traceable evaluation of the orientation accuracy of the measurement system.

Description

technical field [0001] The invention relates to a high-precision orientation and an orientation accuracy evaluation method, in particular to a high-precision orientation and an orientation accuracy evaluation method of a large-scale dynamic photogrammetry system. Background technique [0002] The dynamic photogrammetry system consists of two or more cameras that can collect images at high speed, and the cameras collect images of the measured target points synchronously. By calibrating the projection imaging model of each camera, the spatial light can be recovered from the image plane points, and then the spatial coordinates of the measured points can be calculated by intersection. The imaging model of the camera includes two types of internal orientation parameters and external orientation parameters. The internal orientation parameters include principal points, principal distances, and various types of distortion parameters of different orders. The external orientation para...

AI Technical Summary

Problems solved by technology

[0005] The defect of this self-calibration method of the calibration object is that: the focus of the adjustment process is the internal orientation parameter, and there is no direct optimization and evaluation of the orientation relationship between the cameras; the coordinate accuracy of the target point on the calibration board as the control point will decrease Bring systematic error; the difference between the target point of the calibration plate and the measurement point in material and imaging quality will bring systematic error; except for the image plane error or space coordinate error estimation, there is no objective and reliable space evaluation index

It is very unsuitable for large-scale measurement occasions with high precision requirements and traceable precision

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