Camera tracking for augmented reality media. IEEE International Workshop on Haptic Audio Visual Environments and their Applications. Comparing ARTag and ARToolkit Plus fiducial marker systems. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'05, IEEE. ARTag, a fiducial marker system using digital techniques. Pattern Analysis Machine Intelligence 11: 1265-1278.įiala, M. Determination of the Attitude of 3D Objects from a Single Perspective View. SIGGRAPH '01.ĭhome, M., Richetin, M., Lapreste, J. Retrieved January 16, 2013, from ARToolKit. ALVAR – A library for virtual and augmented reality. Proceedings of ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI'04): 431-435.ĪLVAR. Robust camera pose estimation using 2D fiducials tracking for real-time augmented reality systems. The same marker can be successfully tracked from small and long distances and can be used in the development of such augmented reality applications that need long tracking range.Ībabsa, F. The analysis shows that automatic created layered marker extends the tracking range. An evaluation of the generated marker is performed on standard ARToolKit framework. This paper presents the automatic generation of layered marker that can be tracked from short as well as long distances. However, marker-based technique often suffers from limited tracking range due to which this approach is not often used in long range applications.
It is due to its very accurate registration and having no delay in overlying the virtual information on real-world environment. Marker-based is widely used tracking technique for augmented reality applications.
Pattern recognition, Augmented reality, Marker-based tracking, Tracking range Abstract