Coding, decoding and measuring method of a coded close-range photogrammetry mark

Abstract

The invention relates to a method for encoding, decoding and measuring an encoding close-range photogrammetry marker. The method comprises the following steps: 1) encoding: 11) setting an encoding rate, 12) generating an encoding dictionary and 13) generating an encoding marker; 2) decoding: 21) preprocessing encoding images, 22) extracting a central point and 23) converting and decoding a one-dimensional barcode; and 3) measuring: after the ending of decoding, adopting an improved Fourier-Mellin transform algorithm for resolving the rotation scale relation and translation amount of locating marker points of encoding elements on two images. Compared with the prior art, the method provided by the invention has the advantages of fast decoding, controllable capacity, locating accuracy, capability of promoting rotating measurement accuracy, and the like.

Description

technical field [0001] The invention relates to the field of digital close-range photogrammetry, in particular to an encoding, decoding and measuring method of a coded close-range photogrammetry mark. Background technique [0002] Due to its good scalability and powerful functions, digital close-range photogrammetry has gradually become the most suitable technology for on-site measurement in reverse engineering. In recent years, it has been widely used in field scene deployment control, large-scale structure monitoring, and geometric measurement of industrial products. and design during manufacturing. [0003] With the increasing number of measurement tasks of large-sized and complex objects, the insufficient number of coding marks in the existing measurement system has restricted its overall measurement advantages. Expanding the number of codes and improving data processing capabilities have become an urgent need to ensure measurement accuracy and work efficiency. At the ...

AI Technical Summary

Problems solved by technology

At the same time, the positioning information of traditional photogrammetry landmarks has a high dependence on external deployment and control information, and an additional control network needs to be deployed to obtain the geometric positioning information of landmarks through multiple sets of data for measurement adjustment.

However, only using the coded markers themselves, it is difficult to directly obtain geometric positioning information with traditional coded markers, especially the high-precision relative displacement and rotation information required for large-scale structure monitoring and industrial product measurement

Images