A dynamic registration algorithm for augmented reality

Jing Chen; Yong Tian Wang; Qi Shi; Da Yuan Yan

A dynamic registration algorithm for augmented reality

Jing Chen^*, Yong Tian Wang, Qi Shi, Da Yuan Yan

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

Registration is the crucial technique for augmented reality systems. In order to overlay virtual objects on the real word at the right position and orientation, the speed and accuracy of registration are of most importance. Extended Kalman filter method is employed to track landmarks and to estimate the camera location. This approach can reduce the system latency and improve the accuracy of registration.

Original language	English
Pages (from-to)	631-636
Number of pages	6
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	21
Issue number	5
Publication status	Published - 2001

Keywords

Augmented reality
Dynamic registration
Kalman filter

Cite this

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title = "A dynamic registration algorithm for augmented reality",

abstract = "Registration is the crucial technique for augmented reality systems. In order to overlay virtual objects on the real word at the right position and orientation, the speed and accuracy of registration are of most importance. Extended Kalman filter method is employed to track landmarks and to estimate the camera location. This approach can reduce the system latency and improve the accuracy of registration.",

keywords = "Augmented reality, Dynamic registration, Kalman filter",

author = "Jing Chen and Wang, {Yong Tian} and Qi Shi and Yan, {Da Yuan}",

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T1 - A dynamic registration algorithm for augmented reality

AU - Chen, Jing

AU - Wang, Yong Tian

AU - Shi, Qi

AU - Yan, Da Yuan

PY - 2001

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AB - Registration is the crucial technique for augmented reality systems. In order to overlay virtual objects on the real word at the right position and orientation, the speed and accuracy of registration are of most importance. Extended Kalman filter method is employed to track landmarks and to estimate the camera location. This approach can reduce the system latency and improve the accuracy of registration.

KW - Augmented reality

KW - Dynamic registration

KW - Kalman filter

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M3 - Article

AN - SCOPUS:33746497492

SN - 1001-0645

VL - 21

SP - 631

EP - 636

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 5

ER -

A dynamic registration algorithm for augmented reality

Abstract

Keywords

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