Developing QR Code based Augmented Reality Using SIFT Features

被引:8
作者
Teng, Chin-Hung [1 ]
Wu, Bing-Shiun [1 ]
机构
[1] Yuan Ze Univ, Dept Informat Commun, Chungli, Taiwan
来源
2012 9TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INTELLIGENCE & COMPUTING AND 9TH INTERNATIONAL CONFERENCE ON AUTONOMIC & TRUSTED COMPUTING (UIC/ATC) | 2012年
关键词
augmented reality; QR Code; SIFT;
D O I
10.1109/UIC-ATC.2012.56
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we employ the widely used 2D barcode, the QR Code, to implement a QR Code based augmented reality (AR) system. In this system, QR Code is used to replace the traditional AR marker and the code can be tracked by the system without any maker registration procedure. This implies that the system is suitable for public domain applications since QR Code is a widely acceptable 2D barcode standard. Users can generate their codes and do not need to register the codes into the system. However, since every QR Code is different, to track the codes in a universal way a robust tracking technique needs to be applied. In this paper, we use the SIFT feature to enable QR Code tracking and also improve tracking accuracy and stability. We have developed this QR Code based AR system and its performance is encouraging. The code can be tracked efficiently with sufficient accuracy and stability.
引用
收藏
页码:985 / 990
页数:6
相关论文
共 7 条
[1]  
Carmigniani J, 2011, HANDBOOK OF AUGMENTED REALITY, P3, DOI 10.1007/978-1-4614-0064-6_1
[2]  
Hartley R., 2003, Multiple view geometry in computer vision
[3]  
Kan T. W., SIGGRAPH 2010
[4]  
Kan TW, 2009, P 8 INT C VIRT REAL, P253, DOI DOI 10.1145/1670252.1670305
[5]   Distinctive image features from scale-invariant keypoints [J].
Lowe, DG .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 60 (02) :91-110
[6]  
Nikolaos T., SIGGRAPH 2010
[7]   Scene modelling, recognition and tracking with invariant image features [J].
Skrypnyk, I ;
Lowe, DG .
ISMAR 2004: THIRD IEEE AND ACM INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY, 2004, :110-119