Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/39110
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dc.contributor.authorNazeer Ahamed Wassim Rajaen_US
dc.date.accessioned2010-05-21T04:43:58Z
dc.date.available2010-05-21T04:43:58Z
dc.date.copyright2006en_US
dc.date.issued2006
dc.identifier.urihttp://hdl.handle.net/10356/39110
dc.description78 p.en_US
dc.description.abstractThis 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).en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleRobust feature location estimation for a multi-camera systemen_US
dc.typeThesisen_US
dc.contributor.supervisorWijerupage Sardha Wijesomaen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US
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