Summary: 712 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART B: CYBERNETICS, VOL. 33, NO. 4, AUGUST 2003
Point Fingerprint: A New 3-D Object
Representation Scheme
Yiyong Sun, Joonki Paik, Andreas Koschan, David L. Page, and
Mongi A. Abidi
Abstract--This paper proposes a new, efficient surface representation
method for surface matching. A feature carrier for a surface point, which is
a set of two­dimensional (2-D) contours that are the projections of geodesic
circles on the tangent plane, is generated. The carrier is named point finger-
print because its pattern is similar to human fingerprints and plays a role
in discriminating surface points. Corresponding points on surfaces from
different views are found by comparing their fingerprints. The point fin-
gerprint is able to carry curvature, color, and other information which can
improve matching accuracy, and the matching process is faster than 2-D
image comparison. A novel candidate point selection method based on the
fingerprint irregularity is introduced. Point fingerprint is successfully ap-
plied to pose estimation of real range data.
Index Terms--Geodesic distance, exponential map, pose estimation, sur-
face matching, surface registration, triangle mesh.
I. INTRODUCTION

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

Collections: Computer Technologies and Information Sciences