The points are filtered with respect to their distance from the trajectory. With this filter, you can remove less dense and lower accuracy points that exist furthest from the scanner. Outlying points can be caused by rain or dust or due to partial reflections from edges. With this filter you can remove outlying data points from the point cloud. Therefore, it is best suited to environments with planar surfaces, e.g., walls, both indoor data and for urban environments with strong planar features. With this filter you can improve the point cloud by removing outlying data points on planar surfaces. For this purpose, the following workflows are available: 3D Hand Held Scanner - Freestyle3D ObjectsĪfter you have processed data and confirmed the output, you can apply additional filters to further thin and clean the data.
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