PointFuse Pointfuse
$ 0,00
Pointfuse bridges the gap between reality capture and digital construction. It automatically converts point cloud data from laser scanners or photogrammetry into intelligent as-built mesh models that can be classified and used throughout the BIM or Digital Construction environment.
Description
Pointfuse bridges the gap between reality capture and digital construction. It automatically converts point cloud data from laser scanners or photogrammetry into intelligent as-built mesh models that can be classified and used throughout the BIM or Digital Construction environment.
Pointfuse is unique in automatically segmenting the mesh into discrete, selectable surfaces, by identifying objects based on their geometry and assigning unique identifiers to them. Removing the human aspect of the modelling process eliminates a significant bottleneck, while also removing any chance of subjectivity, producing consistent results. This makes Pointfuse models repeatable and directly comparable – ideal characteristics for accurate project validation.
Pointfuse provides:
- Automation – Segmented Mesh – Auto-classification
These models, which are highly optimised, reduce the size of working data by a factor of up to 100. The models are then significantly easier to use and share compared with the original point cloud.
Additional information
| Year of last update | 2018 |
|---|---|
| Line of sight | N |
| Break lines | Y |
| Boundary detection of solids | Y |
| Building footprints | Y |
| Building roofs | N |
| Lines | N |
| Planes | N |
| Cubes | N |
| Spheres | N |
| Cylinders | N |
| NURBS | N |
| Industrial features | Pipes |
| Aspect and slope | N |
| TIN | N |
| Individual tree heights | N |
| Simulation facilities | No |
| Time series analysis | N |
| CAD software | Microstation, archicad |
| Assigning colour from imagery to points | Y |
| Image overlay on TIN | N |
| Support | Online, phone, in person |
| Typical applications | Construction, Architecture, Surveying, Engineering, Heritage, Scan2BIM |
| Distinguishing features | – Converts any supported input point cloud to a vector model- Separates surfaces along break lines enabling feature extraction- Automatic, one button approach |
| Training | Y |
| Brand | PointFuse |
| Addres | PointFuse Queen Anne House, 25-27 Broadway SL6 1LY Maidenhead United Kingdom |
| Contour Lines | N |
| Cross sections | Y |
| Year of initial introduction | 2015 |
| Adding Points | N |
| Source of Point Clouds | Outdoor TLS, Airborne Lidar, Indoor TLS, Photogrammetric, Radar |
| RAM [GB] | 12 |
| HD [GB] | 500 |
| Use of GPU | Y |
| Stereo Display | N |
| Processor | [] |
| Stand-alone | Yes |
| Input formats | LAS, PTS, XYZ, E57, DP, PFC |
| Output formats | DAE, OBJ, FBX, SKP, DXF, IFC, STL |
| Geo-referencing | N |
| Automatic Target Detection | N |
| Stitching multiple scans | N |
| Removing Points | Y |
| Regular Grid DEMs | N |
| Point Reduction | N |
| Image matching facilities | N |
| Removal of individual outliers | N |
| Removal of vegetation | N |
| Removal of buildings | N |
| Bare ground DEM generation | N |
| 3D Coordinates extraction | Y |
| Length and Height | Y |
| Angle | N |
| Distance | Y |
| Area | N |
| Volume | N |
| URL |
