3D surface acquisition and reconstruction for inspection of raw steel products

This paper proposes an approach for acquisition and reconstruction of 3D surface data of raw steel blocks in harsh industrial environments. The surface reflection properties are changing strongly since the steel blocks are partially covered with scale. Due to this fact we abandon intensity imaging and resort to range imaging approaches in particular light sectioning. This provides more reliable surface data. However, a slower acquisition rate and geometric distortions caused by vibrations of the steel block on the conveyor are detriments. We provide an approach for the reconstruction of the 3D surface using geometric transformation. Additionally, we suggest two methods based on spline interpolation and singular value decomposition for recovering the depth map of the inspected good.