References
- T.-W Kan, C.-H Teng, W.-S Chou, Applying QR Code in Augmented Reality Applications, Virtual Reality Continuum and its applications in industry, pp. 253 – 257, 2009
- J.-T Wang, C.-N Shyi, T.-W. Hou, C.P. Fong, Design and Implementation of Augmented Reality System Collaborating with QR Code, International Computer Symposium (ICS), pp. 414 – 418, 2010
- S. Siltanen, Theory and applications of marker-based augmented reality. Finland: VTT, 2012.
- D. Wagner, D. Schmalstieg, ARToolKitPlus for Pose Tracking on Mobile Devices, Computer Vision Winter Workshop, 2007
- N. Park, W. Lee, W. Woo, Barcode-Assisted Planar Object Tracking Method for Mobile Augmented Reality, International Symposium on Ubquitous Virtual Reality, pp. 40 – 43, 2011
- K. D. Srinivasa, A. R. Settpalli. Hand Written Charater Recognition using Backpropagation, Journal of Theoretical and Applied Information Technology (JATIT), pp. 257-269. 2005
- C. Bishop. Neural Networks : A Pattern Recognition Perspective, Birmingham: Neural Computing Research Group Aston University, 1996
- M. Fiala, A Fiducial Marker System Using Digital Techniques, National Research Council of Canada, 2004
- M. Fiala, Webtag: A World Wide Internet Based AR System, Proceedings of the 6th IEEE/ACM International Symposium on Mixed and Augmented Reality (ISMAR), 2007
- H. Kato, M. Billinghurst, Marker Tracking and HMD Calibration for Video-Based Augmented Reality Conferencing System, 2nd IEEE and ACM International Workshop on Augmented Reality, iwar, pp.85, 1999
- Gia M. Agusta, KhodijahHulliyah, Arini, Rizal BroerBahaweres, QR Code Augmented Reality with Merging on Conventional Marker based Backpropagation Neural Network, International Advanced Computer Science and Information System(ICACSIS), pp. 257 – 261, 2012
- D. H. Douglas, T.K. Peucker, Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or Its Caricature, Cartographica: The International Journal for Geographic Information and Geovisualization, pp. 112 – 122, 1973.
- Sugiyono. Research Method of Quantitative, Qualitative and R&D. Bandung: Alfabeta, 2006
- D. E. Rumelhart, G.E. Hinton, R.J. Williams, Learning representations by back- propagation errors, Nature 323, pp. 533 – 536, 1986
- J. Mustakini. Research Methodology, Yogya: ANDI, 2008
- Wu Hongbing, Lou Peihuang, Tang Dunbing, Adaptive Dynamic Clone Selection Neural Network Algorithm for Motor Fault Diagnosis, Int. Journal Smart Sensing and Intelligent System, vol. 6, no. 2, pp. 482 – 504, 2013
- Zheng Li, Neural Network based multisensor fusion in a novel permanent multi-dof actuator orientation detection system, Int. Journal Smart Sensing and Intelligent System, vol. 5, no. 4, pp. 911 – 927, 2012
- C. Castro, P. Figueroa, A 6 DOF Tracker for Mixed Reality Applications based on AR- Toolkit, Available:http://imagine.uniandes.edu.co
- I. Tetko, D. Livingstone, A. Luik. Neural network studies. Comparison of overfitting and overtraining, pp. 826 – 833, 1995
- H. Abi, L. J. Williams, Principal component analysis, Wiley Interdisciplinary Reviews: Computational Statistics, pp. 433 – 459, 2010
- C. Cortes, V. N. Vapnik, Support-Vector Networks, Machine Learning, 1995