Smoothly varying affine stitching

Traditional image stitching using parametric transforms such as homography, only produces perceptually correct composites for planar scenes or parallax free camera motion between source frames. This limits mosaicing to source images taken from the same physical location. In this paper, we introduce...

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Main Authors:	LIN, Wen-yan, LIU, Siying, MATSUHITA, Yasuyuki, NG, Tian-Tsong, CHEONG, Loong-Fah
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2011
Subjects:	Theory and Algorithms
Online Access:	https://ink.library.smu.edu.sg/sis_research/4801 https://ink.library.smu.edu.sg/context/sis_research/article/5804/viewcontent/Lin_CVPR11__1_.pdf
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-5804
record_format	dspace
spelling	sg-smu-ink.sis_research-58042020-01-16T10:06:32Z Smoothly varying affine stitching LIN, Wen-yan LIU, Siying MATSUHITA, Yasuyuki NG, Tian-Tsong CHEONG, Loong-Fah Traditional image stitching using parametric transforms such as homography, only produces perceptually correct composites for planar scenes or parallax free camera motion between source frames. This limits mosaicing to source images taken from the same physical location. In this paper, we introduce a smoothly varying affine stitching field which is flexible enough to handle parallax while retaining the good extrapolation and occlusion handling properties of parametric transforms. Our algorithm which jointly estimates both the stitching field and correspondence, permits the stitching of general motion source images, provided the scenes do not contain abrupt protrusions. 2011-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4801 info:doi/10.1109/CVPR.2011.5995314 https://ink.library.smu.edu.sg/context/sis_research/article/5804/viewcontent/Lin_CVPR11__1_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Theory and Algorithms
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Theory and Algorithms
spellingShingle	Theory and Algorithms LIN, Wen-yan LIU, Siying MATSUHITA, Yasuyuki NG, Tian-Tsong CHEONG, Loong-Fah Smoothly varying affine stitching
description	Traditional image stitching using parametric transforms such as homography, only produces perceptually correct composites for planar scenes or parallax free camera motion between source frames. This limits mosaicing to source images taken from the same physical location. In this paper, we introduce a smoothly varying affine stitching field which is flexible enough to handle parallax while retaining the good extrapolation and occlusion handling properties of parametric transforms. Our algorithm which jointly estimates both the stitching field and correspondence, permits the stitching of general motion source images, provided the scenes do not contain abrupt protrusions.
format	text
author	LIN, Wen-yan LIU, Siying MATSUHITA, Yasuyuki NG, Tian-Tsong CHEONG, Loong-Fah
author_facet	LIN, Wen-yan LIU, Siying MATSUHITA, Yasuyuki NG, Tian-Tsong CHEONG, Loong-Fah
author_sort	LIN, Wen-yan
title	Smoothly varying affine stitching
title_short	Smoothly varying affine stitching
title_full	Smoothly varying affine stitching
title_fullStr	Smoothly varying affine stitching
title_full_unstemmed	Smoothly varying affine stitching
title_sort	smoothly varying affine stitching
publisher	Institutional Knowledge at Singapore Management University
publishDate	2011
url	https://ink.library.smu.edu.sg/sis_research/4801 https://ink.library.smu.edu.sg/context/sis_research/article/5804/viewcontent/Lin_CVPR11__1_.pdf
_version_	1770575035337015296

Smoothly varying affine stitching

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