Paper
8 October 2015 Parallax handling of image stitching using dominant-plane homography
Zhaofeng Pang, Cheng Li, Baojun Zhao, Linbo Tang
Author Affiliations +
Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 967520 (2015) https://doi.org/10.1117/12.2199793
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
In this paper, we present a novel image stitching method to handle parallax in practical application. For images with significant amount of parallax, the more effective approach is to align roughly and globally the overlapping regions and then apply a seam-cutting method to composite naturally stitched images. It is well known that images can be modeled by various planes result from the projective parallax under non-ideal imaging condition. The dominant-plane homography has important advantages of warping an image globally and avoiding some local distortions. The proposed method primarily addresses large parallax problem through two steps: (1) selecting matching point pairs located on the dominant plane, by clustering matching correspondences and then measuring the cost of each cluster; and (2) in order to obtain a plausible seam, edge maps of overlapped area incorporation arithmetic is adopted to modify the standard seam-cutting method. Furthermore, our approach is demonstrated to achieve reliable performance of handling parallax through a mass of experimental comparisons with state-of-the-art methods.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhaofeng Pang, Cheng Li, Baojun Zhao, and Linbo Tang "Parallax handling of image stitching using dominant-plane homography", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 967520 (8 October 2015); https://doi.org/10.1117/12.2199793
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Composites

Cameras

Current controlled current source

Data processing

Electronics

Image analysis

Image compression

RELATED CONTENT

Portable optical dimensions analyzer for rice grains
Proceedings of SPIE (June 07 2013)
Using PCA in flame vision monitoring system
Proceedings of SPIE (December 16 2014)
Data embedding method
Proceedings of SPIE (January 03 1996)

Back to Top