Regarding the STL file, you should be aware of its limitations, which lacks in storing color and texture data. Depending on the complexity of data and dirtiness, you’ll need to work with a set of features and filters, like decimation and denoising, and tools for closing gaps and cleaning. Some applications will deal with simple shapes for small objects, while others might involve large files with millions of points and noisy data. (Courtesy: ) Tip 1: Define Your ObjectiveĬonverting 3D scanning data can either be a pretty fast and kind of an automatic process, or, in contrast, very complex labor. A point cloud obtained from a scanned object > Triangulated into an STL mesh > Engineered into a parametric CAD solid > Lastly, the model can be simulated for quality control, generative design, further modifications on its parameters and encoding for CNC and additive manufacturing. Originally made for additive manufacturing, it remains as the main option for printing models.Īn illustrative flow for the reverse engineering process. An STL file is the most standard and wide-spread mesh format. But we’re here to help you with 5 tips for converting your point cloud into a mesh, focusing on the STL format. Depending on the case, it can be a tough process. So, if you are working with a point cloud, you must convert it into a mesh. For most CAD/CAM and modeling applications, having a well-defined mesh is vital. Why Polygonal Meshes? The STL FileĪ polygonal mesh is a surface data based on triangulated points. Other uses are terrain studies, cultural heritage documentation, forensics, animation, VR, face recognition, the list goes on and on. They can be used for applications like reverse engineering, quality inspection, BIM and complex CAD modeling. Point cloud processing has improved how machines read real-world input, a file consisting of 3D scanned coordinate data. (Courtesy of ) Converting Your Point Cloud to a CAD STL Mesh – 5 Tips
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