Method for solving camera homography matrix and projector homography matrix

Abstract

The invention relates to a method for solving a camera homography matrix and a projector homography matrix. The method for solving the camera homography matrix and the projector homography matrix is characterized in that a camera and a projector are both connected with a computer through cables, and the method comprises the following steps that in the computer, a camera calibration image is generated, in the computer, a projector calibration image is generated, and the camera calibration image and the projector calibration image are stored in the computer; the camera and the projector are fixedly placed on the front portion of a calibration plate, and it is guaranteed that the calibration plate is placed within the view field range of the camera and the projector; the calibration plate is taken through the camera, and a camera calibration plate image is obtained; the calibration plate is kept not be moved, the projector calibration image is all projected to the calibration plate through the projector, the camera is used for shooting the calibration plate, and a projector calibration plate image is obtained. According to the method for solving the camera homography matrix and the projector homography matrix, the camera and the projector can be quickly calibrated, and therefore the camera homography matrix and the projector homography matrix can be obtained.

Description

technical field [0001] The invention relates to a method for solving a camera homography matrix and a projector homography matrix, and belongs to the technical field of computer vision. Background technique [0002] The structured light measurement method is one of the most promising and widely used three-dimensional measurement methods, which has the advantages of non-contact, high precision and fast speed. The structured light measurement method can adopt binocular stereo vision technology or monocular stereo vision technology. Monocular vision technology is widely used because of its simple structure, no need to consider camera synchronization issues, small amount of processed data, and high efficiency of point cloud reconstruction. It can be seen from the following formula, [0003] [0004] [0005] In order to determine the corresponding relationship between the camera image coordinate system and the projector optical coordinate system and the world coordinate s...

AI Technical Summary

Problems solved by technology

The calibration method based on phase technology requires multiple projections of sinusoidal gratings, and the calibration accuracy depends on the accuracy of absolute phase unwrapping; the calibration method based on cross-ratio invariance requires straight line fitting and gray-scale interpolation, and the object to be measured cannot be directly calculated from the calibration results The real size of the camera; the calibration method of the projector based on the calibration camera is widely used, and a specially designed calibration board is required. The design of the calibration board affects the calibration accuracy and robustness

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