3D Coordinates Determination for Featured Points Based on Close-Up Photogrammetric Method

Aiming at the many shortcomings of the current traditional monitoring methods, such as high cost, inability of real-time solving, and high requirements for the monitoring environment, we propose a three-dimensional coordinate calculation method of feature points based on the closeup photogrammetry technology, and analyze and research on the calibration of the camera parameters, identification and localization of markers, and calculation of the coordinates of feature points. Firstly, the calibration method is selected for camera calibration test, and the internal and external parameters of the camera are calculated; secondly, artificial markers are selected, target detection algorithm is used to identify the markers, and the marker images are preprocessed to obtain the 2D coordinates of the feature points; lastly, the matrix transformation of the image under the spatial system is analyzed through the projective geometric transformation, and the mathematical characterization of the relationship between the 2D coordinates of feature point pixels and the actual 3D coordinates is established.