Robust 3D Object Registration Based On Pairwise Matching of Geometric Distributions

Abstract

AbstractWith the advent of 3D digital libraries and 3D shape retrieval engines, 3D shape representation has been receiving major attention because of its vital role in such systems. In this framework, establishing a representation that allows effective matching and alignment between shapes is a key and fundamental requirement. In this paper, we present a novel representation for arbitrary surfaces that enables local correspondences to be determined. We then describe how these local correspondences can be used to search for the transformation that best aligns all surface data. If this transformation is found to align a significant proportion of the surface data, then the surfaces are said to have a correspondence. Experiments conducted on various objects confirmed the effectiveness of our approach and its robustness with respect to corrupted and missing data.Key Words: 3D shape representation3D shape matchinggeometric distribution3D registration, 3D retrieval systems Additional informationNotes on contributorsN. WerghiNaoufel Werghi received his Ph.D. in computer vision from the University of Strasbourg, France, in 1996, and received his M.Sc. in instrumentation and control for computer vision form the University of Rouen, France, in 1993.He has been a Research Fellow at the Division of Informatics in the University of Edinburgh, UK, and Lecturer at the Department of Computing Sciences in the University of Glasgow, UK. He has also been a Visiting Professor at the Department of Computer and Electrical Engineering, in the University of Louisville, USA. Currently, he is an Assistant Professor at the College of Information Technology, in the University of Dubai, UAE. His research interests are 3D shape analysis and modelling with applications to biometry and medical imaging. He authored/co-authored more than 40 international journals and conference papers. He is a Member in IEEE.