Total least squares fitting of point sets in m-D

Authors:
Gaojin Wen;Dengming Zhu;Shihong Xia;Zhaoqi Wang
Affiliations:
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China;Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China;Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China;Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
Venue:
CGI '05 Proceedings of the Computer Graphics International 2005
Year:
2005

Citing 0
Cited 3

Global non-rigid alignment of 3-D scans

ACM SIGGRAPH 2007 papers
Multi-sensor calibration through iterative registration and fusion

Computer-Aided Design
Stratified Generalized Procrustes Analysis

International Journal of Computer Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

The absolute orientation technique, minimizing the mean squared error between two matched point sets under similarity transformations, has numerously applied in the areas of photogrammetry, robotics, object motion analysis as well as object pose estimation following recognition. Based on it, in this paper, a total least squares fitting algorithm, which generates a fixed point set from k corresponding original point sets and minimizes the mean squared error between the fixed point sets and these k point sets, is proposed and proved. Experiments and interesting applications are also presented to show its efficiency, accuracy and robustness.