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Last edited by WorkBot
January 24, 2010 | History

Shape from video: Dense shape, texture, motion and lighting from monocular image streams 1 edition

Shape from video: Dense shape, texture, motion and lighting from mono ...
Azeem Lakdawalla

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Shape from video: Dense shape, texture, motion and lighting from monocular image streams.

Published 2005 .
Written in English.

About the Book

We present a probabilistic framework for robust recovery of dense 3D shape, motion, texture and lighting from monocular image streams. We assume that the object is rigid, smooth, Lambertian, illuminated by one distant light source and subject to transformations that are smoothly time-varying. The problem is formulated as a large optimization where we learn all model and pdf (probability distribution function) parameters simultaneously, using a quasi-Newtonian optimization technique.

Edition Notes

Source: Masters Abstracts International, Volume: 44-02, page: 0936.

Advisor: A. Hertzmann.

Thesis (M.Sc.)--University of Toronto, 2005.

Electronic version licensed for access by U. of T. users.

GERSTEIN MICROTEXT copy on microfiche (1 microfiche).

The Physical Object

Pagination
82 leaves.
Number of pages
82

ID Numbers

Open Library
OL19216560M
ISBN 10
0494071850

History Created December 11, 2009 · 2 revisions Download catalog record: RDF / JSON

January 24, 2010 Edited by WorkBot add more information to works
December 11, 2009 Created by WorkBot add works page