Registration with linear regression model in augmented reality

Author

De-yi Ma ; Chen, Huang ; Qi-ming Li ; Chen Huang ; Sheng Xu ; Yi-bo Zou

Author_Institution

Dept. of Comput. Sci. & Technol., Shanghai Univ., Shanghai, China

Volume

2

fYear

2011

fDate

10-12 June 2011

Firstpage

520

Lastpage

523

Abstract

Precise registration is very important in augmented reality. The magnetic tracking is a normal instrument to measure position and orientation. This paper presents a novel registration method with linear regression model in augmented reality. Based on the data, which are measured by the magnetic tracking, a linear regression model is set up. Through the linear regression model, the world coordinate and the magnetic tracking coordinate are one-to-one. The theory analysis and simulation prove the feasibility of this brand new method. The system is more precise and robust with linear regression model.

Keywords

augmented reality; regression analysis; augmented reality registration; linear regression model; magnetic tracking coordinate; magnetic tracking instrument; world coordinate; Analytical models; Augmented reality; Interpolation; Linear regression; Maintenance engineering; Real time systems; Solid modeling; Augmented reality; Linear regression model; Registration;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-8727-1

Type

conf

DOI

10.1109/CSAE.2011.5952521

Filename

5952521