An iterative algorithm for the projective registration of free form surfaces

Author

Liu, Yonghuai ; Rodrigues, Marcos A.

Author_Institution

Sch. of Comput. & Manage. Sci., Sheffield Hallam Univ., UK

Volume

1

fYear

2000

fDate

2000

Firstpage

497

Abstract

In this paper we present a novel image registration algorithm combining the iterative closest point algorithm with focus of expansion theory for 3D-2D projective registration of free-form surfaces. A pure translational camera configuration is used, which is a widely adopted constraint to structural estimation. Experimental results based on both synthetic and real images have shown that the proposed algorithm provides accurate and efficient registration and effective elimination of false matches

Keywords

image registration; iterative methods; 2D projective registration; 3D projective registration; false matches elimination; focus of expansion theory; free form surfaces; image registration algorithm; iterative algorithm; iterative closest point algorithm; projective registration; pure translational camera configuration; real images; structural estimation; synthetic images; Biomedical imaging; Cameras; Image processing; Image registration; Iterative algorithms; Iterative closest point algorithm; Layout; Motion estimation; Mutual information; Project management;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.901004

Filename

901004