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Key frame extraction and browser-based visualization for 3D reconstruction from video streams

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dc.contributor.advisor Casals, Alicia (Chairperson) en_US
dc.contributor.author Ahmed, Mirza Tahir en_US
dc.date.accessioned 2015-01-12T10:41:06Z
dc.date.available 2015-01-12T10:41:06Z
dc.date.issued 2009-07 en_US
dc.identifier.other AIT Thesis no.CS-09-15 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/371
dc.description 58 p. en_US
dc.description.abstract In computer vision, the process of 3D reconstruction consists of rebuilding a 3D scene from a set of images. The frames (images) can be extracted from a video sequence to reconstruct the captured scene. This research study concentrates on nding the suitable frames for reconstruction and discarding the rest of the frames through the process of key frame extraction. The selection process based on the properties of the frames avoids degenerate cases, helps to improve performance, and enables the 3D reconstruction process to minimize compute time. Besides key frame extraction, I developed a browser-based 3D video player to allow users to view the captured video in three dimensions. en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject 3D en_US
dc.subject Video streams en_US
dc.title Key frame extraction and browser-based visualization for 3D reconstruction from video streams en_US
dc.type Thesis en_US


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