Mesh optimization is used to improve mesh quality or refine the mesh structure. The meaning of “optimization” varies across software applications and may involve adjusting triangles, removing mesh defects, or processing the surface. Refer to the description of the specific function for its actual effects.
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Select the model to process at the appropriate stage of the workflow. Start with the default parameters or a low intensity setting. After processing, compare the optimized model with the original, paying particular attention to changes in contours, thin edges, small holes, and grooves.
Sets the target number of triangles in the generated mesh, affecting model detail, file size, and processing efficiency.
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Reduces minor surface irregularities to create a smoother surface, but may also cause the loss of fine details.
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Smooths irregular mesh boundaries to reduce jagged edges and create a smoother outline.
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Removes small, disconnected mesh components to eliminate unwanted structures generated during scanning.
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Removes unusually prominent spikes from the model surface to improve local geometry and surface quality.
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Automatically fills small holes in the mesh to make the model surface more complete.
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Mesh optimization does not necessarily reduce the triangle count, nor can it restore real-world details that were not captured during scanning. If the issue is caused by scan misalignment or missing scan data, resolve the underlying data issues first.
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