Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/82693
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Type: | Conference paper |
Title: | As-projective-as-possible image stitching with moving DLT |
Author: | Hernandez Zaragoza, J. Chin, T. Brown, M. Suter, D. |
Citation: | Proceedings, 2013 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013, 23-28 June 2013, Portland, Oregon, USA: pp. 2339-2346 |
Publisher: | IEEE |
Publisher Place: | United States of America |
Issue Date: | 2013 |
Series/Report no.: | IEEE Conference on Computer Vision and Pattern Recognition |
ISBN: | 9780769549897 |
ISSN: | 1063-6919 |
Conference Name: | IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon) |
Statement of Responsibility: | Julio Zaragoza, Tat-Jun Chin, Michael S. Brown, David Suter |
Abstract: | We investigate projective estimation under model inadequacies, i.e., when the underpinning assumptions of the projective model are not fully satisfied by the data. We focus on the task of image stitching which is customarily solved by estimating a projective warp - a model that is justified when the scene is planar or when the views differ purely by rotation. Such conditions are easily violated in practice, and this yields stitching results with ghosting artefacts that necessitate the usage of deghosting algorithms. To this end we propose as-projective-as-possible warps, i.e., warps that aim to be globally projective, yet allow local non-projective deviations to account for violations to the assumed imaging conditions. Based on a novel estimation technique called Moving Direct Linear Transformation (Moving DLT), our method seamlessly bridges image regions that are inconsistent with the projective model. The result is highly accurate image stitching, with significantly reduced ghosting effects, thus lowering the dependency on post hoc deghosting. |
Rights: | © 2013 IEEE |
DOI: | 10.1109/CVPR.2013.303 |
Description (link): | http://www.pamitc.org/cvpr13/ |
Published version: | http://dx.doi.org/10.1109/cvpr.2013.303 |
Appears in Collections: | Aurora harvest 4 Computer Science publications |
Files in This Item:
File | Description | Size | Format | |
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RA_hdl_82693.pdf Restricted Access | Restricted Access | 2.41 MB | Adobe PDF | View/Open |
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