Image mosaicking using SURF features of line segments

Zhanlong Yang, Dinggang Shen, Pew Thian Yap

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this paper, we present a novel image mosaicking method that is based on Speeded-Up Robust Features (SURF) of line segments, aiming to achieve robustness to incident scaling, rotation, change in illumination, and significant affine distortion between images in a panoramic series. Our method involves 1) using a SURF detection operator to locate feature points; 2) rough matching using SURF features of directed line segments constructed via the feature points; and 3) eliminating incorrectly matched pairs using RANSAC (RANdom SAmple Consensus). Experimental results confirm that our method results in high-quality panoramic mosaics that are superior to state-of-the-art methods.

Original languageEnglish
Article numbere0173627
JournalPLoS One
Volume12
Issue number3
DOIs
Publication statusPublished - 2017 Mar 1

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ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Image mosaicking using SURF features of line segments. / Yang, Zhanlong; Shen, Dinggang; Yap, Pew Thian.

In: PLoS One, Vol. 12, No. 3, e0173627, 01.03.2017.

Research output: Contribution to journalArticle

Yang, Zhanlong ; Shen, Dinggang ; Yap, Pew Thian. / Image mosaicking using SURF features of line segments. In: PLoS One. 2017 ; Vol. 12, No. 3.
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