Robust feature location estimation for a multi-camera system
78 p.
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2010
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sg-ntu-dr.10356-391102023-07-04T15:25:33Z Robust feature location estimation for a multi-camera system Nazeer Ahamed Wassim Raja Wijerupage Sardha Wijesoma School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 78 p. This Project mainly deals with the distortion modeling; SIFT Features extraction and estimation of feature locations using only the bearing information. The Point Grey Research Ladybug 2 Camera System is used as the experimental equipment for this project, which is an omnidirectional multicamera system having six cameras. With this camera system the images up to 360 degrees can be taken, but resultant images form this camera has severe radial and tangential distortions, so estimated feature locations deviates much from the actual world coordinates. The distorted images were undistorted based on the computed intrinsic, extrinsic and distortion parameters (radial and tangential). Master of Science (Computer Control and Automation) 2010-05-21T04:43:58Z 2010-05-21T04:43:58Z 2006 2006 Thesis http://hdl.handle.net/10356/39110 application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Nazeer Ahamed Wassim Raja Robust feature location estimation for a multi-camera system |
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78 p. |
author2 |
Wijerupage Sardha Wijesoma |
author_facet |
Wijerupage Sardha Wijesoma Nazeer Ahamed Wassim Raja |
format |
Theses and Dissertations |
author |
Nazeer Ahamed Wassim Raja |
author_sort |
Nazeer Ahamed Wassim Raja |
title |
Robust feature location estimation for a multi-camera system |
title_short |
Robust feature location estimation for a multi-camera system |
title_full |
Robust feature location estimation for a multi-camera system |
title_fullStr |
Robust feature location estimation for a multi-camera system |
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Robust feature location estimation for a multi-camera system |
title_sort |
robust feature location estimation for a multi-camera system |
publishDate |
2010 |
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http://hdl.handle.net/10356/39110 |
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1772825576022736896 |