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  2. Image-based meshing - Wikipedia

    en.wikipedia.org/wiki/Image-based_meshing

    Image-based meshing is the automated process of creating computer models for computational fluid dynamics (CFD) and finite element analysis (FEA) from 3D image data (such as magnetic resonance imaging (MRI), computed tomography (CT) or microtomography).

  3. 3D scanning - Wikipedia

    en.wikipedia.org/wiki/3D_scanning

    A modeler creating a CAD model will want to include both Shape and design intent in the complete CAD model. Vendors offer different approaches to getting to the parametric CAD model. Some export the NURBS surfaces and leave it to the CAD designer to complete the model in CAD (e.g., Geomagic, Imageware, Rhino 3D).

  4. List of common 3D test models - Wikipedia

    en.wikipedia.org/wiki/List_of_common_3D_test_models

    This is a list of models and meshes commonly used in 3D computer graphics for testing and demonstrating rendering algorithms and visual effects. Their use is important for comparing results, similar to the way standard test images are used in image processing .

  5. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Artificially intelligent computer-aided design (CAD) can use text-to-3D, image-to-3D, and video-to-3D to automate 3D modeling. [80] AI-based CAD libraries could also be developed using linked open data of schematics and diagrams. [81] AI CAD assistants are used as tools to help streamline workflow. [82]

  6. Comparison of raster-to-vector conversion software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_raster-to...

    1.2 CAD features. 1.3 Raster editing features. ... Image resize Rotate Crop Raster Shapes Vector editing features. Fills & hatch Vector combine Rotate & move

  7. Image-based modeling and rendering - Wikipedia

    en.wikipedia.org/wiki/Image-based_modeling_and...

    The traditional approach of computer graphics has been used to create a geometric model in 3D and try to reproject it onto a two-dimensional image. Computer vision, conversely, is mostly focused on detecting, grouping, and extracting features (edges, faces, etc. ) present in a given picture and then trying to interpret them as three-dimensional ...