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Proceedings Paper

Mosaicing of fisheye images through conformal projection and sphere matching
Author(s): Jia Liu; Jing Li; Wei Xu; Yu Liu; Maojun Zhang
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Paper Abstract

The use of fisheye image stitching is a popular method to produce panoramic images rapidly. A fisheye lens with a large angle can reduce the number of times of image acquisition, but distortion makes the registration of images difficult. As a key determinant of the effect of fisheye image mosaic quality, the estimation of external parameters of images has become a core issue in panorama generation. Previously established methods require additional measurement devices or are only suitable for specific scenarios. In this study, we develop an image mosaic method. A large-angle fisheye lens is adopted for conformal projection and spherical matching. First, to facilitate the search for corresponding corners, the source images are rotated by 90°. Then, conformal projection transformation is utilized to present the feature structures of the overlap area of two images in a consistent manner. Second, the searched corner points are projected onto the unit sphere, and the motion parameters are estimated with the direct linear transform method. Experimental results show that our method can efficiently complete image registration with a large angle between fisheye images. Hence, a full-view panoramic image of 360°×180° can be obtained with the use of two fisheye cameras with an angle of more than 180°.

Paper Details

Date Published: 8 February 2017
PDF: 7 pages
Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102250T (8 February 2017); doi: 10.1117/12.2266437
Show Author Affiliations
Jia Liu, National Univ. of Defense Technology (China)
Jing Li, National Univ. of Defense Technology (China)
Wei Xu, National Univ. of Defense Technology (China)
Yu Liu, National Univ. of Defense Technology (China)
Maojun Zhang, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10225:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Yulin Wang; Tuan D. Pham; Vit Vozenilek; David Zhang; Yi Xie, Editor(s)

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