Improving model shape acquisition by incorporating geometric constraints.
Naoufel Werghi, Robert Bob Fisher, Anthony Ashbrook, Craig W. Robertson · 1997
While the problem of model fitting for 3-dimensional range data has been addressed with some success, the problem of increasing the accuracy of the whole fit still remains. This paper describes a technique of global shape improvement based upon feature position and shape constraints. These constraints may be globally applied or inferred from general engineering principles. This paper describe a general, incremental, framework whereby constraints can be added and integrated in the model reconstruction process, resulting on optimal trade-off between minimization of the shape fitting error and the constraint 's tolerances. 1 Introduction There has been a recent flurry of effort on reconstructing 3D geometric models of objects from single [2, 5, 6] or multiple [3, 10, 9, 11] range images, in part motivated by improved range sensors, and in part by demand for geometric models in the CAD and Virtual Reality (VR) application areas. Mainly, these reconstructions are of objects with smooth, fr...