Research on Feature Extraction and Match Method based on the Surf Algorithm for Mobile Augmented Reality System

DOI

10.2991/iiicec-15.2015.140How to use a DOI?

Keywords

Surf; Augmented Reality; Image Matching; Feature Point; Mobile Device

Abstract

According to the characteristics of constrained mobile devices, an improved Surf feature extraction and matching algorithm is proposed. First, dynamic pyramid is established in order to meet the real-time requirements; then reducing redundant feature points and strengthening the feature points of big difference individuality is done based on the Niche ideas; finally improved classification BBF matching algorithm is used to speed the matching. The contrast experiment on Surf and its improved algorithm is done based on the iOS platform. The experimental results demonstrate that the improved Surf algorithm has strong robustness, fast speed, high accuracy, and lays the foundation for mobile augmented reality technology in video, animation, text, 3D virtual scene registration, so it has great application value.

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/).

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TY  - CONF
AU  - Fei Guo
AU  - Xiao Luo
AU  - Yi Liu
PY  - 2015/03
DA  - 2015/03
TI  - Research on Feature Extraction and Match Method based on the Surf Algorithm for Mobile Augmented Reality System
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 615
EP  - 619
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.140
DO  - 10.2991/iiicec-15.2015.140
ID  - Guo2015/03
ER  -