dc.contributor.authorYe, Naing Oo
dc.date.accessioned2017-05-23T04:44:59Z
dc.date.available2017-05-23T04:44:59Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10356/71942
dc.description.abstractBased on an practical results and intensive review of the currently available algorithm provided by the latest version of OpenCV library, this report concludes that stereo matching with semi-global block matching algorithm (sgbm) produces the most efficient result. Analysis on four mode of stereo matching with OpenCV on C++ platform was made. The result are compared base on the matching speed and quality.en_US
dc.format.extent43 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleFast obstacle detection for UAV using visionen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorWang Hanen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US


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