In today's 3D digitization world, the reproduction of objects in three-dimensional space has become important in many fields. One of the applied methods is photogrammetry - a technique for extracting geometric data from photographic images.
Photogrammetry is a technique for measuring objects from different angles to collect accurate 3D coordinates. The basic principle of this method is to use common pixels appearing in many photos, then calculate their actual positions based on the triangulation model. Photogrammetry processing software will automatically find the repeating feature points between photos, thereby building a 3D map of the object.
Taking more photos at different angles will help the system determine the position of spatial points more accurately. Once the point construction process is complete, the data will be converted into a triangular mesh and a complete 3D model will be built, vividly reproducing the shape and surface texture of the object.
Photogrammetry allows for the accurate modeling of large-sized objects, especially suitable for oversized and overweight industries such as thermal power plants, metal foundries, or automobile manufacturing. Large, complex details that are difficult to achieve with traditional scanning methods can be easily digitized through field images.
Notably, many modern 3D laser scanners have integrated photogrammetry functions. This combination helps increase the accuracy when scanning large-sized objects, while optimizing the actual data collection process.
Photogrammetry is a flexible and economical 3D digitization solution, especially suitable for applications that require processing large objects with low investment costs. However, with too low accuracy and resolution, the structured light method and especially 3D laser scanning are still more widely used.
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