Horizon Europe · LUMINOUS
Spatial tools for architectural review
LUMINOUS is a Horizon Europe project building XR systems people can use through natural language. Hypercliq authored its system architecture and helps connect the voice, knowledge, and interaction layers. For the architectural design review pilot, we developed Splat Viewer to inspect captured spaces and extract building structure from suitable scans.
Use Case 3 · Ricoh capture
From an E57 scan to a room model
Ricoh captured the space. In this short video, our Splat Viewer opens the E57 file, lets us move through the scan, and identifies walls, floors, doors, windows, and rooms.
What the video shows
- Explore a Ricoh scan as a coloured point cloud in Splat Viewer.
- See detected walls, floors, and ceilings highlighted in different colours.
- View the extracted building layout with wall faces, doors, and windows.
- Read explanatory cards about supported scans and the viewer’s wider capabilities.
Full video description with timestamps
0:00 · Introducing Splat Viewer
A Hypercliq title introduces Splat Viewer for Gaussian splats, LiDAR scans, building geometry, laser measurements, and splat training.
0:04 · Exploring the Ricoh E57 capture
The viewer displays the Ricoh capture as a coloured point cloud. The camera looks around rooms containing desks, chairs, windows, and doorways. A scan overview indicates the camera’s position and viewing direction.
An explanatory card identifies E57 as an ASTM exchange format. It says every scan in the file is loaded in colour with its recorded pose applied, and reports 6.4 million points opening in under two seconds.
0:11 · Processing the scan
Navigation continues through the captured rooms. A card explains that E57 uses the same processing pipeline as LAS and LAZ, without prior conversion. It names normals and oriented surface elements derived using local PCA, octree level-of-detail processing, and caching.
0:18 · Identifying building surfaces
Detected walls become orange, floors blue, and ceilings cyan. Furniture remains visible among the classified surfaces. The explanatory card says detected planes are used to colour points by their surface class.
0:24 · Showing the building layout
The view changes to an outside overview of the building. Translucent wall faces outline connected spaces, with door frames in yellow and window frames in cyan. The card describes each wall as a single quadrilateral and the result as a 3D floor plan.
At approximately 0:31, the geometry overlays disappear, leaving the captured building visible from outside. Another card says LAS, LAZ, E57, and PLY files can be opened through the File menu or command line in the same viewer.
0:37 · Closing feature summary
A closing card identifies Splat Viewer 0.6 as a Windows application. It lists support for Gaussian splats in PLY and LiDAR scans in LAS, LAZ, and E57.
The card describes GPU visibility culling and depth sorting, and octree streaming of scans exceeding 200 million points on an 8 GB GPU. It also lists building geometry with DXF floor-plan and IFC model export; distance and area measurements with wall-corner snapping and exported measurement annotations; Brush splat training from scans and photographs; typed or dictated notes pinned to viewpoints; recorded camera paths and COLMAP reference photographs; and panorama and labelled multi-view capture.
The closing text names Rust and Vulkan and states that no runtime dependencies are needed beyond a GPU driver.
Hypercliq’s role
01
Platform architecture
We authored the main system architecture deliverable, D1.2, for the language-augmented XR platform.
02
System integration
We worked on connecting the voice, knowledge, and interaction layers across the platform.
03
Spatial tools
For the architectural design review pilot, we developed Splat Viewer to inspect captured spaces and extract building structure from suitable scans.
About LUMINOUS
The project brings together partners to develop language-augmented XR systems. Its three pilots cover neurorehabilitation, safety training, and architectural design review.
LUMINOUS is funded by the European Union’s Horizon Europe programme under grant agreement 101135724.
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