Extended Panorama Tracking Algorithm for Augmenting Virtual 3D Objects In Outdoor Environments

被引:0
作者
Forsman, Mikko [1 ]
Arvo, Jukka [1 ]
Lehtonen, Teijo [1 ]
机构
[1] Univ Turku, Technol Res Ctr, Turku, Finland
来源
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON VIRTUAL SYSTEMS AND MULTIMEDIA (VSMM) | 2016年
关键词
augmented reality; pose estimation; tracking;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Augmented Reality (AR) is currently gaining popularity in multiple professional use cases. However, applying AR for outdoor environments is still very difficult, especially when targeting customer-grade mobile devices. This paper presents extensions to a previous panoramic tracking algorithm, which is a visual tracking method for unprepared outdoor use cases. The panorama tracker is extended by Unity3D game engine integration, and by implementing two distinct initialization systems based on Global Positioning System (GPS) for the tracker. The enhanced panorama tracker is benchmarked with 30 test videos, and the test results indicate that the accuracy of the tracker is sufficient for visualization tasks in outdoor environments. In addition, performance numbers show that the implemented tracker can often reach real-time performance on some consumer-grade tablets. Accuracies of the new initialization systems seem to be sufficient, as long as previously known accurate GPS locations are used instead of internal sensors from the mobile devices.
引用
收藏
页码:155 / 162
页数:8
相关论文
共 14 条
  • [1] [Anonymous], 2011, AUGMENTED REALITY SO
  • [2] Azuma RT, 1999, MIXED REALITY, P379
  • [3] Simultaneous localization and mapping: Part I
    Durrant-Whyte, Hugh
    Bailey, Tim
    [J]. IEEE ROBOTICS & AUTOMATION MAGAZINE, 2006, 13 (02) : 99 - 108
  • [4] Robust detection and tracking of annotations for outdoor augmented reality browsing
    Langlotz, Tobias
    Degendorfer, Claus
    Mulloni, Alessandro
    Schall, Gerhard
    Reitmayr, Gerhard
    Schmalstieg, Dieter
    [J]. COMPUTERS & GRAPHICS-UK, 2011, 35 (04): : 831 - 840
  • [5] Menozzi A, 2014, IEEE POSITION LOCAT, P760
  • [6] Olsson TD, 2012, EWORK AND EBUSINESS IN ARCHITECTURE, ENGINEERING AND CONSTRUCTION, P733
  • [7] Reitmayr Gerhard, 2006, 2006 IEEE/ACM International Symposium on Mixed and Augmented Reality, P109, DOI 10.1109/ISMAR.2006.297801
  • [8] Rosten E, 2005, IEEE I CONF COMP VIS, P1508
  • [9] Machine learning for high-speed corner detection
    Rosten, Edward
    Drummond, Tom
    [J]. COMPUTER VISION - ECCV 2006 , PT 1, PROCEEDINGS, 2006, 3951 : 430 - 443
  • [10] Sakari L., 2016, TECH REP