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Surface estimation and tracking using sequential MCMC methods for video based rendering

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Bowen, Adam, Mullins, Andrew, Wilson, Roland and Rajpoot, Nasir (2007) Surface estimation and tracking using sequential MCMC methods for video based rendering. In: IEEE International Conference on Image Processing (ICIP 2007), San Antonio, TX, SEP 16-19, 2007. Published in: 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 pp. 1125-1128.

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Abstract

Video based rendering algorithms attempt to render videos of a scene from an arbitrary viewpoint, given a set of input video sequences taken from several fixed viewpoints. These algorithms require either a dense camera array or some knowledge of scene structure. By applying sequential Markov Chain Monte Carlo (MCMC) methods, we show it is possible to estimate the surfaces visible within a scene, and track them over time, in an efficient manner. Initially, a particle filter is applied across image scale to estimate the surfaces present in a scene at a fixed point in time. Following this, surfaces are tracked over time using a particle filter which takes advantage of both frame-to-frame dependancies, and a hierarchical surface model derived from a multiresolution Gaussian mixture model analysis of the surface data. This time-varying surface model, and the images, are the input for a rendering algorithm which uses a fuzzy z-buffer and projective texturing to generate reconstructions.

Item Type: Conference Item (UNSPECIFIED)
Subjects: T Technology > TR Photography
Series Name: IEEE International Conference on Image Processing (ICIP)
Journal or Publication Title: 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7
Publisher: IEEE
ISBN: 978-1-4244-1436-9
ISSN: 1522-4880
Date: 2007
Number of Pages: 4
Page Range: pp. 1125-1128
Identification Number: 10.1109/ICIP.2007.4379217
Publication Status: Published
Title of Event: IEEE International Conference on Image Processing (ICIP 2007)
Location of Event: San Antonio, TX
Date(s) of Event: SEP 16-19, 2007
URI: http://wrap.warwick.ac.uk/id/eprint/30442

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