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Tracking chessboard corners using projective transformation for augmented reality

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4 Author(s)
S. Malek ; Div. Robot. & Productique, Centre de Dev. des Technol. Av., Baba Hassen, Algeria ; N. Zenati-Henda ; S. Benbelkacem ; M. Belhocine

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.

Published in:

Communications, Computing and Control Applications (CCCA), 2011 International Conference on

Date of Conference:

3-5 March 2011