Acknowledgement
This research was supported by a grant from a Research Project (Architectural MEP Object Reverse Engineering Technology Development for the Facility Management, 2015) funded by the Korea Institute of Construction Technology.
This study develops an algorithm that automatically performs reverse engineering on three-dimensional (3D) sweeping shapes using a user's pre-defined feature templates and 3D point cloud data (PCD) of sweeping shapes. Existing methods extract 3D sweeping shapes by extracting points on a PCD cross section together with the center point in order to perform curve fitting and connect the center points. However, a drawback of existing methods is the difficulty of creating a 3D sweeping shape in which the user's preferred feature center points and parameters are applied. This study extracts shape features from cross-sectional points extracted automatically from the PCD and compared with pre-defined feature templates for similarities, thereby acquiring the most similar template cross-section. Fitting the most similar template cross-section to sweeping shape modeling makes the reverse engineering process automatic.
This research was supported by a grant from a Research Project (Architectural MEP Object Reverse Engineering Technology Development for the Facility Management, 2015) funded by the Korea Institute of Construction Technology.