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| Tracking Chessboard Corners Using Projective Transformation for Augmented Reality
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Full
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 PDF(830.8KB) |
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Source |
International Journal of Image Processing (IJIP) |
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Table of Contents |
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Download
Complete Issue PDF(4.73MB) |
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Volume: 5 Issue: 1 |
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Pages: 1-108 |
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Publication
Date: March / April 2011 |
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ISSN
(Online): 1985-2304 |
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Pages |
78 - 89 |
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Author(s) |
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Published
Date |
04-04-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Pinhole Model, Least Squares Method, Augmented Reality, Chessboard Corners Detection |
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| This Manuscript is indexed in the following databases/websites:- |
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| 1. Directory of Open Access Journals (DOAJ) |
| 2. Scribd |
| 3. refSeek |
| 4. Socol@r |
| 5. Docstoc |
| 6. Google Scholar |
| 7. iSEEK |
| 8. WorldCat |
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| 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. |
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| Salim Malek : Colleagues
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| Nadia Zenati-Henda : Colleagues
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| M.Belhocine : Colleagues
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| Samir Benbelkacem : Colleagues
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