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Mosaicing with parallax using time warping

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

2D image alignment methods are applied successfully for mosaicing aerial images, but fail when the camera moves in a 3D scene. Such methods can not handle 3D parallax, resulting in distorted mosaicing. General egomotion methods are slow, and do not have the robustness of 2D alignment methods. We propose to use the x-y-t space-time volume as a tool for depth invariant mosaicing. When the camera moves on a straight line in the x direction, a y-t slice of the space-time volume is a panoramic mosaic, while a x-t slice is an EPI plane. Time warping, which is a resampling of the t axix, is used to form straight feature lines in the EPI planes. This process will simultaneously give best panoramic mosaic in the y-t slices. This approach is as robust as 2D alignment methods, while giving depth invariant motion ("ego motion"). Extensions for two dimensional camera motion on a plane are also described, with applications for 2D mosaicing, and for image based rendering such as "light field".

Original languageEnglish
Title of host publication2004 Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2004
PublisherIEEE Computer Society
EditionJanuary
ISBN (Print)0769521584
DOIs
StatePublished - 2004
Event2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004 - Washington, United States
Duration: 27 Jun 20042 Jul 2004

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
NumberJanuary
Volume2004-January
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

Conference2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004
Country/TerritoryUnited States
CityWashington
Period27/06/042/07/04

Bibliographical note

Publisher Copyright:
© 2004 IEEE.

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