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Image mosaicking using SURF features of line segments.


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.

SUBMITTER: Yang Z 

PROVIDER: S-EPMC5351852 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Image mosaicking using SURF features of line segments.

Yang Zhanlong Z   Shen Dinggang D   Yap Pew-Thian PT  

PloS one 20170315 3


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 match  ...[more]

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