I seek expertise in 3D modeling and CAD software to process point cloud data captured via lidar scanner. The unorganized point cloud containing over 500,000 data points must be converted into a polygon mesh maintaining accuracy while reducing complexity for downstream CAD applications. Knowledge of filters, segmentation, triangulation algorithms and managing large datasets is essential. The final water-tight mesh file format should be in an industry standard such as STL, OBJ or PLY for integration within CAD software. Experience manipulating dense lidar scan data and generating high-fidelity 3D models from point clouds will be valued. Skill deploying a variety of software including CloudCompare, MeshLab, RapidForm XOR and Polyworks will be advantageous. The project requires expertise in lidar and 3D scanning data processing as well as precise conversion techniques to maintain millimeter level geometry definition through the various steps from point cloud to a clean polygon mesh model. Interested freelancers should demonstrate experience on comparable projects and provide examples of past work generating 3D meshes from lidar scans.
The pointcloud can be provided in .asc, .e57 or .rcp format
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