Markerless Planar Tracking in Augmented Reality Using Geometric Structure

This paper presents a novel tracking method based on Kanade-Lucas-Tomasi(KLT) for Markerless Augmented Reality system. Two main contributions are listed as follow: 1) feature points are tracked in a multi-level image pyramid model and the tracked points on different levels are blended together; 2) tracked points are refined using the geometric structure between them, including wiping off fictitious points and recovering missing points. In addition,it adapts to acute scale variation and poor quality image tracking. Experimental results show that the proposed algorithm is robust to scale invariant and the re-projection error of feature points on each frame is smaller than one pixel, which is kept at sub-pixel.

[1]  Andrea Torsello,et al.  RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience , 2011, CVPR 2011.

[2]  Hideaki Uchiyama,et al.  Object Detection and Pose Tracking for Augmented Reality: Recent Approaches , 2012 .

[3]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[4]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[5]  Axel Pinz,et al.  Computer Vision – ECCV 2006 , 2006, Lecture Notes in Computer Science.

[6]  Tom Drummond,et al.  Machine Learning for High-Speed Corner Detection , 2006, ECCV.

[7]  D. W. F. van Krevelen,et al.  A Survey of Augmented Reality Technologies, Applications and Limitations , 2010, Int. J. Virtual Real..

[8]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[9]  Gary R. Bradski,et al.  ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.

[10]  Simon Baker,et al.  Lucas-Kanade 20 Years On: A Unifying Framework , 2004, International Journal of Computer Vision.

[11]  Luc Van Gool,et al.  SURF: Speeded Up Robust Features , 2006, ECCV.

[12]  D. B. Davis,et al.  Intel Corp. , 1993 .

[13]  Hideo Saito,et al.  Random dot markers , 2011, 2011 IEEE Virtual Reality Conference.

[14]  J.-Y. Bouguet,et al.  Pyramidal implementation of the lucas kanade feature tracker , 1999 .