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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.
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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

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