3D Scanner | Creating a new generation of photogrammetry methods to solve the problem of scanning large workpieces
Published Time：
2024-01-04
Photogrammetry has a long history. It uses two-dimensional images to calculate three-dimensional coordinate relationships, providing data stitching reference systems for 3D scanning of large-volume objects and improving overall dimensional accuracy.
Photogrammetry has a long history. It uses two-dimensional images to calculate three-dimensional coordinate relationships, providing a data stitching reference system for 3D scanning of large-volume objects and improving overall dimensional accuracy.
3D Scanning + Industrial Photogrammetry
Photogrammetry is not a new concept; its history can be traced back to the 1850s. After years of development, photogrammetry has been used in various fields, including 3D scanning. Because 3D data is stitched together using markers, features, or textures, there will be some errors during the stitching process. Although these can be optimized through various algorithms, in the 3D scanning of large-volume objects, errors accumulate with the increasing number of stitching operations.
To solve this problem, researchers have introduced photogrammetry. Before acquiring point cloud data through 3D scanning, images are taken to obtain the spatial framework position of the workpiece (and the size accuracy of this spatial framework is optimized using the reference information of the scale). This provides a reference system for data stitching, improving the overall dimensional accuracy of the scanned data.
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