A fast and robust image stitching algorithm

Li Yao; Ma Lizhuang

doi:10.1109/WCICA.2006.1713865

A fast and robust image stitching algorithm

Li Yao, Ma Lizhuang

Shanghai Jiao Tong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

20 Scopus citations

Abstract

This paper proposed a coarse-to-fine method to construct mosaics from images. A two-stage feature-based robust estimation method is used, which quickly searches for a small number of consistent matches defining a transformation that is well approximation to the correct one. After getting all matching pairs, geometric relations of neighboring points are used to eliminate the false matches, and then Levenberg-Marquardt's nonlinear method is used to minimize the difference and update the related transformation. At last, panorama blending with two-band blending method gains high quality in spite of large lighting variation between images. Results showed that the proposed method built high-quality panoramic image mosaics in high speed.

Original language	English
Title of host publication	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages	9604-9608
Number of pages	5
DOIs	https://doi.org/10.1109/WCICA.2006.1713865
State	Published - 2006
Externally published	Yes
Event	6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China Duration: 21 Jun 2006 → 23 Jun 2006

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	2

Conference

Conference	6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/Territory	China
City	Dalian
Period	21/06/06 → 23/06/06

Keywords

Image registration
Image stitching
Mosaics

Access to Document

10.1109/WCICA.2006.1713865

Cite this

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title = "A fast and robust image stitching algorithm",

abstract = "This paper proposed a coarse-to-fine method to construct mosaics from images. A two-stage feature-based robust estimation method is used, which quickly searches for a small number of consistent matches defining a transformation that is well approximation to the correct one. After getting all matching pairs, geometric relations of neighboring points are used to eliminate the false matches, and then Levenberg-Marquardt's nonlinear method is used to minimize the difference and update the related transformation. At last, panorama blending with two-band blending method gains high quality in spite of large lighting variation between images. Results showed that the proposed method built high-quality panoramic image mosaics in high speed.",

keywords = "Image registration, Image stitching, Mosaics",

author = "Li Yao and Ma Lizhuang",

year = "2006",

doi = "10.1109/WCICA.2006.1713865",

language = "英语",

isbn = "1424403324",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "9604--9608",

booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",

}

Yao, L & Lizhuang, M 2006, A fast and robust image stitching algorithm. in Proceedings of the World Congress on Intelligent Control and Automation (WCICA)., 1713865, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 2, pp. 9604-9608, 6th World Congress on Intelligent Control and Automation, WCICA 2006, Dalian, China, 21/06/06. https://doi.org/10.1109/WCICA.2006.1713865

A fast and robust image stitching algorithm. / Yao, Li; Lizhuang, Ma.
Proceedings of the World Congress on Intelligent Control and Automation (WCICA). 2006. p. 9604-9608 1713865 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A fast and robust image stitching algorithm

AU - Yao, Li

AU - Lizhuang, Ma

PY - 2006

Y1 - 2006

N2 - This paper proposed a coarse-to-fine method to construct mosaics from images. A two-stage feature-based robust estimation method is used, which quickly searches for a small number of consistent matches defining a transformation that is well approximation to the correct one. After getting all matching pairs, geometric relations of neighboring points are used to eliminate the false matches, and then Levenberg-Marquardt's nonlinear method is used to minimize the difference and update the related transformation. At last, panorama blending with two-band blending method gains high quality in spite of large lighting variation between images. Results showed that the proposed method built high-quality panoramic image mosaics in high speed.

AB - This paper proposed a coarse-to-fine method to construct mosaics from images. A two-stage feature-based robust estimation method is used, which quickly searches for a small number of consistent matches defining a transformation that is well approximation to the correct one. After getting all matching pairs, geometric relations of neighboring points are used to eliminate the false matches, and then Levenberg-Marquardt's nonlinear method is used to minimize the difference and update the related transformation. At last, panorama blending with two-band blending method gains high quality in spite of large lighting variation between images. Results showed that the proposed method built high-quality panoramic image mosaics in high speed.

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KW - Image stitching

KW - Mosaics

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M3 - 会议稿件

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T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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BT - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

T2 - 6th World Congress on Intelligent Control and Automation, WCICA 2006

Y2 - 21 June 2006 through 23 June 2006

ER -

A fast and robust image stitching algorithm

Abstract

Publication series

Conference

Keywords

Access to Document

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