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Spherical Image Stitching Based on ORB and PROSAC Algorithm

Published: 19 May 2018 Publication History

Abstract

This paper provides a real-time image stitching method. During stitching users often discover that panoramic picture is not ideal because of the spherical camera taking the picture of wide-angle and large-area distortion. We presents the ORB algorithm extracting feature points, and PROSAC algorithm purification. While traditional stitching researchers use the SIFT or SURF method detecting feature points, and the RANSAC algorithm removes outpoints. We discover that SIFT and SURF algorithms require very complex calculations, and the RANSAC algorithm is equally and random for all feature point pairs, so the real-time processing is slow. In this paper, the use of ORB and non-random PROSAC algorithm greatly shortens the running time. The SURF+RANSAC and ORB+PROSAC algorithms are used to compare the stitching speed. Experiments show that the ORB+PROSAC algorithm increase matching speed with better matching accuracy.

Supplementary Material

Original paper (p160-xin_v1.pdf)
Published on August 17, 2018 in the ACM Digital Library. Replaced on September 6th, with approval of the program chairs. Author affiliations required correction.

References

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Rublee E, Rabaud V, Strecha C, et al. ORB:an efficient alternative to SIFT or SURF{C}. Computer Vision(ICCV), 2011 IEEE International Conference on. IEEE, 2011:2564--2571.
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Zhang Yajuan. Research on Image and Video Mosaic Technology Based on SURF Feature{D}. Xidian University, 2013.
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Tong Ying, Zhang Yan. Image Matching Algorithm Based on Dual Detection Strategy Coupled with PROSAC Technology{J}. Computer Engineering and Design, 2017, 38(11): 3137--3142.
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Wang Liangliang, Zhang Guicang, Jia Wenxiao. Medical Image Fusion Method Based on Gradient Fusion Rule {J/OL}. Journal of Computer Applications, 2018(06):1--6 {2018-01-05}.
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Ying Tong, Jin Chen. Compressive sensing image fusion in heterogeneous sensor networks based on shearlet and wavelet transform. EURASIP Journal on Wireless Communications and Networking, 2017, Vol. 2017 (1), pp. 1--5.
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Jiang Pengfei. Video Image Mosaicing Based on ORB Feature{D}. University of Electronic Science and Technology, 2016.

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  1. Spherical Image Stitching Based on ORB and PROSAC Algorithm

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    cover image ACM Other conferences
    ICIIP '18: Proceedings of the 3rd International Conference on Intelligent Information Processing
    May 2018
    249 pages
    ISBN:9781450364966
    DOI:10.1145/3232116
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • Guilin: Guilin University of Technology, Guilin, China
    • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 May 2018

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    Author Tags

    1. ORB
    2. PROSAC
    3. image stitching
    4. spherical image correction

    Qualifiers

    • Short-paper
    • Research
    • Refereed limited

    Funding Sources

    • Guangxi key Laboratory Fund of Embedded Technology and Intelligent System

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    ICIIP '18

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    Overall Acceptance Rate 87 of 367 submissions, 24%

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