Browse > Article
http://dx.doi.org/10.6109/jkiice.2013.17.3.762

GPS-based Augmented Reality System for Social Network Environment  

Yang, Seung-Eui (배재대학교 컴퓨터공학과)
Jieg, Jiu (배재대학교 컴퓨터공학과)
Jung, Hoe-Kyung (배재대학교 컴퓨터공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.3, 2013 , pp. 762-767 More about this Journal
Abstract
Recently, researches on augmented reality(AR) are actively being conducted, and on addition of AR in social network system has become a necessity. In this paper, we propose GPS-based AR system for social network. This proposed system adds the recent check-in coordinates by automatically synchronizing a friend list in facebook and represents those added location coordinates in a real-world environment by using AR. Marker-based AR system that was commonly used by existing users consumes too much storage space and processing frequency for driving handle devices. But, location-based AR application can solves the disvantages of the standard marker=based AR system. Therefore, this proposed system allows an user with iOS hand devices to use GPS-based AR system by automatically searching the optimal speed for wifi and 4G. This will improve social network service.
Keywords
AR; GPS; Social Network; Location-based AR applications; iOS hand device;
Citations & Related Records
연도 인용수 순위
  • Reference
1 A. Bosch, A. Zisserman, and X. Munoz. Image classification using random forests and ferns. In ICCV, 2007
2 S. Branson, C. Wah, B. Babenko, F. Schroff, P. Welinder, P. Perona, and S. Belongie. Visual recognition with humans in the loop. In ECCV, 2010
3 S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. CVPR, 2006
4 C. A. Collin and P. A.Mc Mullen. Subordinate-level categorization relies on high spatial frequencies to a greater degree than basic-level categorization. Percept. Psychophys, Vol. 67 No. 2, pp.354-364, 2005   DOI   ScienceOn
5 V. Delaitre, I. Laptev, and J. Sivic. Recognizing human actions in still images: A study of bag-of-features and part-based representations. In BMVC, 2010
6 Facebook iOS SDK, https://developes.facebook.com/blog/post/2012/07/11/facebook-sdk-3-0-beta-for-ios/, July 2012
7 AR + APP + LBS The Augmented Reality attention is real-time and interactive (DAMN DIGITAL), Feb. 2012
8 H.Lee, R.Grosse, R.Ranganath and A. Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. ICML, 2009.
9 ARKit http://cafe.naver.com/danbistudio/269, July 2010
10 P. F. Felzenszwalb, R. B. Girshick, D.McAllester, and D. Ramanan. Object detection with discriminatively trained part-based models. IEEE T. Pattern Anal., Vol. 32 No. 9, pp.1627-1645, 2010   DOI   ScienceOn
11 A. Hauptmann, R. Yan, W. Lin, M. Christel, and H. Wactlar. Can high-level concepts fill the semantic gap in video retrieval a case study with broadcast news. IEEE TMM, Vol 9 No. 5, p.958, 2007