Accurate and Automatic Alignment of Range Surfaces

Abstract

This paper describes an automatic pipeline that is able to take a set of unordered range images and align them into a full 3D model. A global voting scheme is employed for view matching, inspired by 2D techniques for image mosaicing. Then a multiple view registration approach is introduced, which aims at optimizing the alignment error simultaneously for all the views. Experiments demonstrate the effectiveness of the method.