title: 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.
authors.affiliation: School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi, China.|Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, NC, United States of America.
authors.forename: Zhanlong
authors.identifier: http://orcid.org/0000-0003-3272-1331
authors.initials: Z
authors.lastname: Yang
authors.affiliation: Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, NC, United States of America.|Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea.
authors.forename: Dinggang
authors.initials: D
authors.lastname: Shen
authors.affiliation: Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, NC, United States of America.
authors.forename: Pew-Thian
authors.initials: PT
authors.lastname: Yap
mesh_terms: D000465:Algorithms; D007091:Image Processing, Computer-Assisted; D008962:Models, Theoretical