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Tracking Chessboard Corners Using Projective Transformation for Augmented Reality
Salim Malek, Nadia Zenati-Henda, M.Belhocine, Samir Benbelkacem
Pages - 78 - 89     |    Revised - 31-03-2011     |    Published - 04-04-2011
Volume - 5   Issue - 1    |    Publication Date - March / April 2011  Table of Contents
Pinhole Model, Least Squares Method, Augmented Reality, Chessboard Corners Detection
Augmented reality has been a topic of intense research for several years for many applications. It consists of inserting a virtual object into a real scene. The virtual object must be accurately positioned in a desired place. Some measurements (calibration) are thus required and a set of correspondences between points on the calibration target and the camera images must be found. In this paper, we present a tracking technique based on both detection of Chessboard corners and a least squares method; the objective is to estimate the perspective transformation matrix for the current view of the camera. This technique does not require any information or computation of the camera parameters; it can used in real time without any initialization and the user can change the camera focal without any fear of losing alignment between real and virtual object.
CITED BY (2)  
1 García Moreno, L. M., & Barandica Zemanate, E. (2016). " Implementación de realidad aumentada en planos topográficos como componente interactivo de los entornos geográficos virtuales"[recurso electrónico] (Doctoral dissertation).
2 Hamidia, M., Zenati-Henda, N., Belghit, H., & Belhocine, M. (2014, April). Markerless tracking using interest window for augmented reality applications. In Multimedia Computing and Systems (ICMCS), 2014 International Conference on (pp. 20-25). IEEE.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 iSEEK 
5 Socol@r  
6 Scribd 
7 WorldCat 
8 SlideShare 
9 PdfSR 
ARToolKit site: http://www.hitl.washington.edu/artoolkit.
Bay, H., Tuytelaars, T., VanGool, L.: "SURF: Speeded Up Robust Features". In: 9th European Conference on Computer Vision, pp. 404–417, 2006.
Diego Lopez de Ipina, Paulo R. S. Mendonca, and Andy Hopper. "Trip: A low-cost visionbased location system for ubiquitous computing". Personal Ubiquitous Comput., 6(3), pp.206–219, , 2005.
Fiala, M.: ARTag: "a fiducial marker system using digital techniques". In: CVPR’05, vol. 1, pp.590 – 596, 2005.
H. Kato and M. Billinghurst. "Marker tracking and HMD calibration for a video-based augmented reality conferencing system". IWAR ’99 : Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality, Washington, DC, USA. IEEE Computer Society, pp. 85–92, 1999.
H. Wuest, F. Vial and D. stricker. “Adaptative line tracking with multiple hypotheses for augmented reality”. In ISMAR ’05, pp. 62-69, 2005.
Hyun Seung Yang, Kyusung Cho, Jaemin Soh, Jinki Jung, Junseok Lee: "Hybrid Visual Tracking for Augmented Books". ICEC 2008: pp. 161-166, 2008.
ISO. International standard, iso/iec18004. ISO International Standard, Jun 2000.
Lowe, D.G.: "Distinctive Image Features from Scale-Invariant Keypoints". International Journal of Computer Vision 20(2), pp. 91–110, 2004.
M. Tuceryan, M., Greer, D., Whitaker, R., Breen, D., Crampton, C., Rose, E., and Ahlers, K.,“Calibration Requirements and Procedures for Augmented Reality”, IEEE Trans. On Visualization and Computer Graphics, pp. 255-273, September 1995.
Mark Fiala, Chang Shu: "Self-identifying patterns for plane-based camera calibration". Mach.Vis. Appl. 19(4), pp. 209-216, 2008.
O.D. Faugeras and G. Toscani. “The calibration problem for stereo”, In Proceedings of CVPR, pp. 15-20, 1986.
Open source computer vision library. In:http://www.intel.com/research/mrl/research/opencv.
R. Azuma, Y. Baillot,R. Behringer, S. Feiner, and S. Julier, “Recent advances in augmented reality”, IEEE Computer Graphics and Applications, 21(6), pp. 34-47, 2001.
R. Tsai, “An efficient and accurate camera calibration technique for 3D machine vision”, IEEE Proceedings CVPR, pp. 364-374, June 1986.
Rice, A., Beresford, A., Harle, R.: "Cantag: an open source software toolkit for designing and deploying marker-based vision systems". In: 4th IEEE International Conference on Pervasive Computing and Communications, 2006.
T. Lee and T. Höllerer. 2009. "Multithreaded Hybrid Feature Tracking for Markerless Augmented Reality". IEEE Transactions on Visualization and Computer Graphics 15, 3, pp.355-368, May. 2009.
Z. Zhang, “Camera calibration with one-dimensional objects”, In Proc. 7th European Conference on Computer Vision, (IV), pp. 161–174, 2002.
Zhou, F., Duh, H.B.L., Billinghurst, M. " Trends in Augmented Reality Tracking, Interaction and Display: A Review of Ten Years of ISMAR". Cambridge, UK: 7th IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR 2008), pp. 15-18, Sep 2008.
Mr. Salim Malek
CDTA center - Algeria
Dr. Nadia Zenati-Henda
CDTA center - Algeria
Dr. M.Belhocine
CDTA center - Algeria
Mr. Samir Benbelkacem
CDTA center - Algeria