Fast and efficient geometric constraints optimization for an automatic 3D modelling

Abstract

We present our 3D models reconstructed based on geometric constraints. Used constraints in 3D reconstruction are frequently inaccurate. In fact, we detect an important set of theme, which one can we choose as input of reconstruction method? So, redundancies, cycles and inaccurate 3D model present a challenge to overcome. It is therefore necessary to “beautify” constraint and to elaborate an accurate 3D model before use in reconstruction systems. We present in our work a new method of 3D model elaboration. So, we remove redundancies; cycles and we bring a safe and final 3D model with an optimal freedom degree of estimated parameters. Our reconstruction algorithm first prioritizes the constraint detection. User can add them manually or through an automatic process. But the important thing is to avoid 3D modeling step which is very challenging. To detect and eliminate redundant and inconsistent constraints use freedom degree analysis. Results from our implementation show that the method can beautify and optimize recovered 3D models correctly at acceptable speed