This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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, 200910.1145/1670252.1670305Search in Google Scholar
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, 201010.1109/COMPSYM.2010.5685477Search in Google Scholar
S. Siltanen, Theory and applications of marker-based augmented reality. Finland: VTT, 2012.Search in Google Scholar
D. Wagner, D. Schmalstieg, ARToolKitPlus for Pose Tracking on Mobile Devices, Computer Vision Winter Workshop, 2007Search in Google Scholar
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, 201110.1109/ISUVR.2011.20Search in Google Scholar
K. D. Srinivasa, A. R. Settpalli. Hand Written Charater Recognition using Backpropagation, Journal of Theoretical and Applied Information Technology (JATIT), pp. 257-269. 2005Search in Google Scholar
C. Bishop. Neural Networks : A Pattern Recognition Perspective, Birmingham: Neural Computing Research Group Aston University, 199610.1201/9781420050646.ptb6Search in Google Scholar
M. Fiala, A Fiducial Marker System Using Digital Techniques, National Research Council of Canada, 2004Search in Google Scholar
M. Fiala, Webtag: A World Wide Internet Based AR System, Proceedings of the 6th IEEE/ACM International Symposium on Mixed and Augmented Reality (ISMAR), 200710.1109/ISMAR.2007.4538858Search in Google Scholar
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, 1999Search in Google Scholar
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, 2012Search in Google Scholar
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, 1973.10.3138/FM57-6770-U75U-7727Search in Google Scholar
Sugiyono. Research Method of Quantitative, Qualitative and R&D. Bandung: Alfabeta, 2006Search in Google Scholar
D. E. Rumelhart, G.E. Hinton, R.J. Williams, Learning representations by back- propagation errors, Nature 323, pp. 533 – 536, 198610.1038/323533a0Search in Google Scholar
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, 201310.21307/ijssis-2017-551Search in Google Scholar
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, 201210.21307/ijssis-2017-514Search in Google Scholar
C. Castro, P. Figueroa, A 6 DOF Tracker for Mixed Reality Applications based on AR- Toolkit, Available:http://imagine.uniandes.edu.coSearch in Google Scholar
I. Tetko, D. Livingstone, A. Luik. Neural network studies. Comparison of overfitting and overtraining, pp. 826 – 833, 199510.1021/ci00027a006Search in Google Scholar
H. Abi, L. J. Williams, Principal component analysis, Wiley Interdisciplinary Reviews: Computational Statistics, pp. 433 – 459, 201010.1002/wics.101Search in Google Scholar
C. Cortes, V. N. Vapnik, Support-Vector Networks, Machine Learning, 199510.1007/BF00994018Search in Google Scholar