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Key frame extraction and browser-based visualization for 3D reconstruction from video streams | |
Author | Ahmed, Mirza Tahir |
Call Number | AIT Thesis no.CS-09-15 |
Subject(s) | Computer vision Three-dimensional imaging |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science |
Publisher | Asian Institute of Technology |
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 finding 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 3Dreconstruction 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. |
Year | 2009 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Computer Science (CS) |
Chairperson(s) | Casals, Alicia;Dailey, Matthew N. |
Examination Committee(s) | Landabaso, Jose Luis; |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2009 |