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In the paper, the subsystem for graphical visualization of semantic messages has been proposed and configuration dataflow has been described. The key problem in 3D object rendering over video camera image is fusion of parameters collected during camera calibration and pose estimation with models of visualized objects. Pose estimation results and transformation matrix setup were described. Proposed system has been developed in HTML5 internet web page format that uses portable JavaScript language and WebGL library that make use of GPU device. Presented prototype can be used by a web browser on desktop PC as well as on mobile device. No third-party software is necessary.
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Czasopismo
Rocznik
Tom
Strony
61--70
Opis fizyczny
Bibliogr. 18 poz., rys.
Twórcy
autor
- AGH University of Science and Technology, Department of Automatics and Bioengineering, Mickiewicza Ave., 30, 30-059 Kraków, Poland
Bibliografia
- [1] M. Agoston, Computer Graphics and Geometric Modeling Implementation and Algorithms, Springer-Verlag, London 2005
- [2] L. Calavia, C. Baladron, J. Aguiar, B. Carro, A. Sanchez-Esguevillas, A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities, Sensors, vol. 12, issue 8, pp. 10407-10429, August, 2012
- [3] B. Coyne, D. Bauer, O. Rambow, VigNet: grounding language in graphics using frame semantics, Proceedings of the ACL 2011 Workshop on Relational Models of Semantics (RELMS ’11), Association for Computational Linguistics, Stroudsburg, PA, USA, pp. 28-36, 2011
- [4] D. DeMenthon, L. Davis, Model-based object pose in 25 lines of code, International Journal of Computer Vision, vol. 15, no. 1, pp. 123-141, Springer, 1995
- [5] O. Faugeras, Three-Dimensional Computer Vision - A geometric Viewpoint, The MIT Press, Cambridge, 1996
- [6] V. Lepetit, F. Moreno-Noguer, P. Fua, EPnP: An Accurate O(n) Solution to the PnP Problem, International Journal of Computer Vision, Vol. 81 no. 2, pp. 155-166, February 2009
- [7] E. Mendez, G. Schall, S. Havemann, D. Fellner, D. Schmalstieg, S. Junghanns, Generating Semantic 3D Models of Underground Infrastructure, Computer Graphics and Applications, IEEE , vol.28, no.3, pp. 48,57
- [8] A. Nuechter, J. Hertzberg, Towards semantic maps for mobile robot, Robotics and Autonomous Systems, vol 56, pp. 915-926, 2008
- [9] M. Qiang, L. Xiling, Camera Auto-Calibration Based on Motion Detection for Airborne Traffic Surveillance, International Conference on Computer Technology and Development, ICCTD ’09, vol.2, pp.350-354, 2009
- [10] E. Rieffel, A. Girgensohn, D. Kimber, T. Chen, Q. Liu, Geometric Tools for Multicamera Surveillance Systems, Distributed Smart Cameras, 2007. ICDSC ’07. First ACM/IEEE International Conference on, pp. 132-139, 2007
- [11] R. Tadeusiewicz, P. Szczepaniak, Basic concepts of knowledge-based image understanding, Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications, Springer-Verlag, Heidelberg, pp. 42-52, 2008
- [12] M. Trzupek, M. Ogiela, R. Tadeusiewicz, Image Content Analysis for Cardiac 3D Visualizations, Knowledge-Based and Intelligent Information and Engineering Systems, Lecture Notes in Computer Science, Springer, Heidelberg, pp. 192-199, 2009
- [13] R. Tsai, A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses, IEEE Journal of Robotics and Automation, vol. 3, no. 4, pp. 323-344, August 1987
- [14] J. Wang, Y. Liu, Characteristic Line of Planar Homography Matrix and Its Applications in Camera Calibration, 2006, 18th International Conference on Pattern Recognition, IEEE, vol. 1, pp. 147-150, 2006
- [15] Z. Zhang, A flexible new technique for camera calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330-1334, 2000
- [16] http://en.wikipedia.org/wiki/HTML5, access time: 16th May 2013
- [17] http://en.wikipedia.org/wiki/WebGL, access time: 16th May 2013
- [18] http://www.khronos.org/opengles, access time: 16th May 2013
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8b943092-117e-4f87-bef4-921f2263ecb0