Develop LiDAR and 3D-scanning software with MeshLib SDK — real-time registration, cleanup and triangulation of massive point clouds.
Processing LiDAR data means cleaning, aligning and converting point clouds into useful 3D models. Traditional software struggles with registration, error correction and sheer data volume — creating bottlenecks for surveying, urban planning and autonomous-navigation applications.
Align multiple scans into one cohesive model, streamlining the processing of large, complex captures.
Remove outliers and noise for clean, precise data before meshing.
Reduce point density for efficiency and convert point clouds into structured, usable 3D meshes.
Repair defects introduced during triangulation, producing watertight, optimized models.
Generate lightweight LODs of huge datasets and compare scans to measure change and accuracy.
LiDAR applications built with MeshLib are efficient and robust, letting users process large point clouds in real time with accuracy and stability across varied terrains — ideal for surveying, mapping and autonomous-navigation software.
3D-scanning and reality-capture developers build on MeshLib. Polyga, a 3D-scanner manufacturer, uses high-performance mesh processing to turn scan data into clean, usable models. (Customer video review available — can be embedded here on request.)
