There are many existing methods for capturing three dimensional data from two dimensional images. Methods based on images captured from multiple view-points require solving the correspondence problem: establishing which points in each image represent the same points in the scene. Most attempts at solving the correspondence problem require carefully controlled lighting and reference points within the scene.
A new method captures many consecutive images to form a dense spatiotemporal volume as the camera-or scene-undergoes controlled motion. Feature points in the scene move along predictable paths within this volume. Analysing the exact motion of features determines their three dimensional position in the scene.
Identifer | oai:union.ndltd.org:ADTP/217853 |
Date | January 2007 |
Creators | Williams, Mark, n/a |
Publisher | University of Otago. Department of Computer Science |
Source Sets | Australiasian Digital Theses Program |
Language | English |
Detected Language | English |
Rights | http://policy01.otago.ac.nz/policies/FMPro?-db=policies.fm&-format=viewpolicy.html&-lay=viewpolicy&-sortfield=Title&Type=Academic&-recid=33025&-find), Copyright Mark Williams |
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