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An extension to optic flow analysis for the generation of computer animated images

Bibliography: leaves 148-151.

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Bibliographic Details
Main Author: Webb, Ian Andrew
Other Authors: Blake, Edwin H
Format: Thesis
Language:English
Published: Department of Computer Science 2015
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access_status_str Open Access
author Webb, Ian Andrew
author2 Blake, Edwin H
author_browse Blake, Edwin H
Webb, Ian Andrew
author_facet Blake, Edwin H
Webb, Ian Andrew
author_sort Webb, Ian Andrew
collection Thesis
description Bibliography: leaves 148-151.
format Thesis
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institution University of Cape Town (South Africa)
language eng
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license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
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publisher Department of Computer Science
publisherStr Department of Computer Science
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spelling oai:open.uct.ac.za:11427/12526 An extension to optic flow analysis for the generation of computer animated images Webb, Ian Andrew Blake, Edwin H Computer Science Bibliography: leaves 148-151. This dissertation seeks to develop image based animation methods using the technique of optic flow analysis developed for a moving planar object. Image based rendering is presented as a class of algorithm using two dimensional shortcuts to the problem of three dimensional animation. The optic flow field is used to develop an image based algorithm based on its use as a description of the diffences between consecutive frames of an animation. A Taylor analysis of the optic flow field is the underlying tool used, breaking the field up into a hierarchy of terms. For a moving planar object, we have considerably simplified the second order Taylor terms into a basis of just two independent terms, which can be related closely to a perspective transformation between frames. Perspective transformations capture exactly the optic flow of a moving planar object. Using the simplified decomposition of the flow field for a moving plane, we decompose the frame to frame transformation into a hierarchy of terms of increasing accuracy and cost. Depending on their accuracy we may choose any of these as transformation on an image between frames, instead of rerendering. The errors in the approximation can be tracked via the Taylor series. This dissertation develops the theory and presents an animation algorithm based on optic flow, and then presents the results of various tests of the algorithm in a variety of simple scenes. The results demonstrate the effectiveness of the algorithm and the time saving achieved in animation. 2015-02-17T13:06:56Z 2015-02-17T13:06:56Z 1998 Master Thesis Masters MSc http://hdl.handle.net/11427/12526 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town
spellingShingle Computer Science
Webb, Ian Andrew
An extension to optic flow analysis for the generation of computer animated images
thesis_degree_str Master's
title An extension to optic flow analysis for the generation of computer animated images
title_full An extension to optic flow analysis for the generation of computer animated images
title_fullStr An extension to optic flow analysis for the generation of computer animated images
title_full_unstemmed An extension to optic flow analysis for the generation of computer animated images
title_short An extension to optic flow analysis for the generation of computer animated images
title_sort extension to optic flow analysis for the generation of computer animated images
topic Computer Science
url http://hdl.handle.net/11427/12526
work_keys_str_mv AT webbianandrew anextensiontoopticflowanalysisforthegenerationofcomputeranimatedimages
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