Obviously, the resulting point cloud/mesh will not retain its translucency (that should be setup as material in another software, such as blender) and the texture might be odd-looking, however, it’s a great way to keep intact the geometry of your subject. The shape from silhouette algorithm can help a lot when dealing with extremely reflective surfaces and even transparent or translucent surfaces. Step 2 – Creating a new multiband project.Step 2 – Create a new project using the same camera information.Step 1 – Create a new project / calibration setup.Step 1 – Understanding when the Shape From Silhouette function can help.Section/track section/contour lines generation from a Dense Point Cloud.Section C: LiDAR and photogrammetry data integration.Section B: Automatic register images to scans.A07 – Laser scan management and integration. A05 – DEM Generation and Elevation Profile.Step 3 – Manual dense point cloud merge.Step 1 – Import your project and merge it directly.Step 2 – Choosing the orthophoto resolution.Step 1 – Setting the orthophoto’s source.Section B: scaling and georeferencing after new project creation.Section A: scaling and georeferencing during the new project creation.A01 – Using control points and distances.Understanding details and model quality.Step 4 – Texture and ortophoto generation.Step 1 – Understanding the problem and getting ready.Step 3 – Making a copy from cut / paste.Step 2 – Making a copy of an existing object.Step 7 – Auto advance masking tool for turntable setup.Step 4 – Adjusting bounding box and result.
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