Point cloud - wall and floor recognition in 3D

The implementation of BIM design for existing buildings from point cloud is highly dependent on the ability to generate such models economically.
The input for such buildings typically requires laser scanning to obtain point clouds.
Significant post-processing is required on the point cloud, converting the points into architectural BIM objects and adding additional BIM properties such as materials.
Several methods have attempted to reduce the post-processing effort, as it requires multiples of the time and cost of laser scanning. 

ARCHLine.XP uses a hybrid approach algorithm to detect walls and floors in a point cloud.

The result is a drastic reduction in post-processing time and cost.

Certain constraints apply to the relationship of the objects, the floor must be horizontal and the wall must be vertical.

The process consists of three steps:
1. Precise level setting on the point cloud
2. Detection of vertical surfaces defining the building facade,
3. Definition of the main points of the new architectural element, e.g. the beginning and endpoint of the wall.

The accuracy of the method depends on the designer, and the method can also be applied to multi-story buildings.

The result is a parametric solid modell what is needed to generate BIM.