Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/21012
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dc.contributor.authorDikovski, Bojanen_US
dc.contributor.authorLameski, Petreen_US
dc.contributor.authorZdravevski, Eftimen_US
dc.contributor.authorKulakov, Andreaen_US
dc.date.accessioned2022-07-18T09:10:25Z-
dc.date.available2022-07-18T09:10:25Z-
dc.date.issued2014-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/21012-
dc.description.abstractStructure from motion is the process of extracting 3D structure from images taken through the motion of the camera. The result is dependent on the quality and resolution of the images that are being taken, so it is beneficial to use as high quality images as possible. Sometimes it is not possible to obtain high level of detail in photos because of the environmental, economic or other restrictions. In this paper we analyze structure from motion when using a low resolution camera in indoor environment. The obtained results are compared with the same process when using images of higher resolution and with the 3D structure created from points taken with the Microsoft Kinect sensor.en_US
dc.subjectstructure from motion, sparse reconstruction, low resolution images, Kinecten_US
dc.titleStructure from motion obtained from low quality images in indoor environmenten_US
dc.typeProceeding articleen_US
dc.relation.conferenceCIIT 2014en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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