Distance constraint based iterative structure and pose estimation from a single image

Author

Rodrigues, Marcos A. ; Liu, Yonghuai

Author_Institution

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

Volume

1

fYear

2000

fDate

2000

Firstpage

501

Abstract

This paper presents a novel method for structural and pose estimation from 3D-2D correspondence. Structural data are obtained by first estimating the depths of some reference points using the Newton-Raphson method with a distance constraint followed by depth estimation of the remaining points in closed form solution. Pose estimation is obtained through the constraint least squares method which has been proven accurate and robust for noisy image data. Experimental results based on both synthetic data and real images have shown that the proposed algorithm is accurate and robust in the presence of noise

Keywords

Newton-Raphson method; image registration; least squares approximations; noise; parameter estimation; 3D-2D correspondence; Newton-Raphson method; closed form solution; constraint least squares method; depth estimation; distance constraint based iterative structure; noise; noisy image data; pose estimation; structural data; structural estimation; Cameras; Closed-form solution; Image analysis; Image recognition; Iterative algorithms; Least squares methods; Motion estimation; Newton method; Noise robustness; Structural engineering;

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.2000.901005

Filename

901005