@article{(Open Science Index):https://publications.waset.org/pdf/10006258,
	  title     = {Enhanced Planar Pattern Tracking for an Outdoor Augmented Reality System},
	  author    = {L. Yu and  W. K. Li and  S. K. Ong and  A. Y. C. Nee},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, a scalable augmented reality framework for handheld devices is presented. The presented framework is enabled by using a server-client data communication structure, in which the search for tracking targets among a database of images is performed on the server-side while pixel-wise 3D tracking is performed on the client-side, which, in this case, is a handheld mobile device. Image search on the server-side adopts a residual-enhanced image descriptors representation that gives the framework a scalability property. The tracking algorithm on the client-side is based on a gravity-aligned feature descriptor which takes the advantage of a sensor-equipped mobile device and an optimized intensity-based image alignment approach that ensures the accuracy of 3D tracking. Automatic content streaming is achieved by using a key-frame selection algorithm, client working phase monitoring and standardized rules for content communication between the server and client. The recognition accuracy test performed on a standard dataset shows that the method adopted in the presented framework outperforms the Bag-of-Words (BoW) method that has been used in some of the previous systems. Experimental test conducted on a set of video sequences indicated the real-time performance of the tracking system with a frame rate at 15-30 frames per second. The presented framework is exposed to be functional in practical situations with a demonstration application on a campus walk-around.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {11},
	  number    = {2},
	  year      = {2017},
	  pages     = {156 - 167},
	  ee        = {https://publications.waset.org/pdf/10006258},
	  url   	= {https://publications.waset.org/vol/122},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 122, 2017},
	}