New Mesh Transform layer to scale, rotate, or translate the underlying mesh layer New Mesh Post-Process layer to automatically decimate, unwrap, reproject textures, and bake details of the underlying mesh layer Add the original result or a version to the Sampler project The post-process step automatically unwraps, re-projects textures, and then bakes the normal height and AO information from the high-poly mesh Each of the versions is automatically decimated to the target faces number set Optimize your mesh and textures by creating a new version Define the geometry precision for the reconstructed mesh Scale, translate, and rotate on all axes the bounding box widget Define the reconstruction area with a bounding box widget Alignment result - view and interact with cameras associated with each aligned photo Alignment result - view all matched features as a point cloud Import or generate black and white masks on your dataset Sampler will now load at startup script and plugins stored on paths defined by two environment variables: We added a new function to import textures with a specific usage: import_textures export mesh with or without textures: export_mesh or export_3d_object.export environment lights: export_environment_light. It is how Sampler creates 3D meshes from a series of photographs.Īll you need to start is a series of photos which capture the visible surfaces of an object - a smart phone or DLSR camera works great.ĢD and 3D viewports can be resized, swapped and stacked vertically. Photogrammetry is the technical process of taking measurements from images. We have integrated photogrammetry capabilities. With Substance 3D Sampler 4.0, you can now create 3D objects from images. This version introduces some UX improvements as new possibilities in the Python API. With Substance 3D Sampler 4.0, you can use real-world images to create 3D objects with automatic subject masking, texture mapping, and geometry decimation.
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