Hexagon Smart Point Cloud(HSPC)

HSPC is a point cloud format, processing- and visualization framework from Hexagon.

It enables flexible workflows while reducing processing time. HSPC is based on a specialized coordinate encoding particularly suited to point collection by scanners. The resulting storage format has been optimized for data transfer, cloud-based storage, rapid spatial queries and fast visualization.

A highly efficient spatial tree structure allows HSPC to exhibit several beneficial non-functional properties:

• Encoding performance ranging from twice to ten times as fast as the legacy HPC format;
• Built-in compression reduces data size by a factor of two or more compared to other spatially structured formats, close to that of LAZ (which is not spatially structured);
• Spatial queries that massively outperform those of HPC, LAS etc;
• Excellent rendering performance by leveraging available GPU resources when visualized by Hexagon software;
• "Unlimited" scalability through streaming of the spatially divided data;
• Target most platforms such as browsers, mobile devices, AR and VR when visualized by Hexagon software.
• All attributes, except for position, are untouched and compressed lossless during encoding. Attributes can also be modified post encoding.

HSPC data sets are currently stored as exploded directly structures meaning many files. While impractical to move around, this allows for:

• Simplicity and efficiency when exposing data for streaming;
• Maximum benefit from the efficiency of the file system;
• Low impact when doing attribute editing.

HSPC as a framework is continuously evolving through new features and further improvements to non-functional characteristics.

For more information on HSPC framework and SDK, please contact HxDR team.