Surface reconstruction algorithms for detailed close-range object modeling

Abstract

Nowadays 3D modeling is generally performed using image or range data. Range sensors are getting a quite common source of data for modeling purposes due to their speed and ability to capture millions of points. In this paper we report about two surface measurement algorithms for precise and detailed object reconstruction from terrestrial images. Photogrammetry has all the potentialities to retrieve the same details of an object that range sensors can achieve. Using advanced measurement techniques,which combine area-based and feature-based matching algorithms we are able to generate dense point clouds of complex and free-form objects, imaged in closely or widely separated images. Different examples are reported to show the potentiality of the methods and their applicability to different close-range data sets.