Rectified feature matching for spherical panoramic images

T. Y. Chuang, N. H. Perng

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Spherical panoramic image processing has received renewed interest in the fields of photogrammetry and computer vision. The difficulty in spherical matching is largely due to inevitable image distortions introduced from the equirect-angular projection. In this paper, we present an effective strategy for tackling the problem of distortion to improve the performance of spherical image matching. The effectiveness of the rectified matching is evaluated with simulated data and compared with state-of-art methods. In addition, experiments with respect to matching between omnidirectional and planar images, establishing 2D-to-3D correspondence with lidar, and the pose estimation of a spherical image sequence are conducted. The results verify the utility of the proposed method, which provides stable and evenly distributed corresponding points, and it is suitable for integration with conventional techniques for further 3D exploitation of imagery.

Original languageEnglish
Pages (from-to)25-32
Number of pages8
JournalPhotogrammetric Engineering and Remote Sensing
Volume84
Issue number1
DOIs
StatePublished - Jan 2018

Fingerprint Dive into the research topics of 'Rectified feature matching for spherical panoramic images'. Together they form a unique fingerprint.

Cite this