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Journal of Electronic Imaging

Unified framework for automatic image stitching and rectification
Author(s): Jaehyun An; Beom Su Kim; Hyung-Il Koo; Nam Ik Cho
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Paper Abstract

Conventional image stitching methods were developed under the assumption or condition that (1) the optical center of a camera is fixed (fixed-optical-center case) or (2) the camera captures a plane target (plane-target case). Hence, users should know or test which condition is more appropriate for the given set of images and then select a right algorithm or try multiple stitching algorithms. We propose a unified framework for the image stitching and rectification problem, which can handle both cases in the same framework. To be precise, we model each camera pose with six parameters (three for the rotation and three for the translation) and develop a cost function that reflects the registration errors on a reference plane. The designed cost function is effectively minimized via the Levenberg–Marquardt algorithm. For the given set of images, when it is found that the relative camera motions between the images are large, the proposed method performs rectification of images and then composition using the rectified images; otherwise, the algorithm simply builds a visually pleasing result by selecting a viewpoint. Experimental results on synthetic and real images show that our method successfully performs stitching and metric rectification.

Paper Details

Date Published: 12 May 2015
PDF: 11 pages
J. Electron. Imaging. 24(3) 033007 doi: 10.1117/1.JEI.24.3.033007
Published in: Journal of Electronic Imaging Volume 24, Issue 3
Show Author Affiliations
Jaehyun An, Seoul National Univ. (Korea, Republic of)
Beom Su Kim, Seoul National Univ. (Korea, Republic of)
Hyung-Il Koo, Ajou Univ. (Korea, Republic of)
Nam Ik Cho, Seoul National Univ. (Korea, Republic of)

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