High performance
Supports production workflows for real-world data by processing upwards of 5 million points per second.
Point Clouds Tiler
Tile billions of points with millimeter precision
Cesium point cloud tiling is built for performance, and the output is optimized for visual quality and precision. In viewers like CesiumJS, Cesium's tiling enables a smooth, fast experience by taking advantage of the full potential of 3D Tiles.
Quality and robustness
Detects optimal configuration settings. Preserves per-point attributes for visualization styling.
Conveniently in the cloud
Upload your data and point your apps at Cesium ion. Also available for self-hosted deployment.
Bring your own data
Support for standard formats including LASer (.las, .laz)
Per-point attribute styling by classification (top left), distance (top right), height (bottom left), and intensity (bottom right).
Washington DC highway, classified at runtime using volumes from an independent data source indicating curbs and highway signs.
Preserve per-point attributes
The point clouds tiler preserves per-point attributes so you can use this metadata for dynamic runtime styling in your CesiumJS apps.
Set color, size, and visibility using classification, intensity, classification flags, return number, number of returns, scanner channel, scan direction, scan angle, edge of flightline flag, user data, point source ID, GPS time, or custom expression combining multiple attributes.
House exterior at millimeter precision, is visualized in CesiumJS. Data courtesy of Trimble Inc.
Surface area measurement using Cesium ion SDK tools. Tiling preserves fidelity for accurate measuring and analysis.
Interior of a historic cabin. The tiler can handle point clouds of any scale, from global to local to building interiors. Data courtesy of Trimble Inc.
Millimeter precision
The point clouds tiler preserves source data fidelity for accurate visualizations. The leaf tiles maintain the highest resolution accuracy, so once a view is fully refined you can measure and analyze with confidence.
Make real-world decisions with confidence. With our roots in aerospace, precision is at the core of everything we do.
This highly detailed cabin was compressed from a 4.48 GB LAS down to 0.67 GB.
Point compression
The point clouds tiler provides an option to use Google's Draco point-cloud-aware compression library for fast streaming load times. Compressing data at a finer precision decreases file sizes at no loss, and both precision and compression can easily be tuned to have the best results for your data.
The tiler produces an average 7x reduction compared to the source LAS files and a 3x reduction compared to LAZ. Decoding in CesiumJS is fast, using WebAssembly and running in parallel using web workers.
3D tiling with Cesium ion Self-Hosted
If your enterprise deployment requires the 3D Tiling Pipeline in your environment, let's talk.