KAZE Algorithm Applied in Augmented Reality

DOI

10.2991/asei-15.2015.278How to use a DOI?

Keywords

Augmented Reality; KAZE; features detection; match.

Abstract

The Augmented Reality system based on KAZE algorithm is to do nonlinear diffusion filtering by the additive operator splitting algorithm. In this way, the problem of blurred boundaries and detail missing can be solved. A stable nonlinear scale space is constructed by using arbitrary step to search the Hessian local maxi-mum value point after different scales normalizing to detect feature points. Meanwhile, it combines KLT algorithm when tracking the target feature in order to improve the efficiency. Experiment show that, since the KAZE algorithm matching feature points are better and the positioning accuracy is higher, therefore this AR system has good effect of real-time virtual and actual fusion in special environments such as insufficient light, occlusion and jittering.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Qing Zhu
AU  - Zhenglong Lei
PY  - 2015/05
DA  - 2015/05
TI  - KAZE Algorithm Applied in Augmented Reality
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1405
EP  - 1410
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.278
DO  - 10.2991/asei-15.2015.278
ID  - Zhu2015/05
ER  -