Interactive tools for quality enhancement in 3D modelling from reality

This paper presents a set of algorithms to improve the quality of triangulated 3D models representing real environments. The objective of the work is to improve the details of the 3D models (acquired using laser range sensors), which the automated 3D reconstruction procedures are not able to describe. The approach followed in this work is to apply specific geometric algorithms either on the entire model or in particular regions to correct data imprecision in respect to the real word. This includes edge straightening, constraint plane flattening and other general corrections. The techniques presented are based on the automatic/semi-automatic edge detection either on the triangulated model or on the combination of registered video and range images. This is followed by the mesh modification to accommodate the edge straightening. Finally, the paper proposes an extension of the data correction concepts to surfaces by introducing a planar flattening algorithm. These are the foundations for the further, more abstract, surfaces correction.