Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Fisheye video correction

Wei, Jin, Li, Chen-Feng, Hu, Shi-Min, Martin, Ralph Robert and Tai, Chiew-Lan 2012. Fisheye video correction. IEEE Transactions on Visualization and Computer Graphics 18 (10) , pp. 1771-1783. 10.1109/TVCG.2011.130

Full text not available from this repository.

Abstract

Various types of video can be captured with fisheye lenses; their wide field of view is particularly suited to surveillance video. However, fisheye lenses introduce distortion, and this changes as objects in the scene move, making fisheye video difficult to interpret. Current still fisheye image correction methods are either limited to small angles of view, or are strongly content dependent, and therefore unsuitable for processing video streams. We present an efficient and robust scheme for fisheye video correction, which minimizes time-varying distortion and preserves salient content in a coherent manner. Our optimization process is controlled by user annotation, and takes into account a wide set of measures addressing different aspects of natural scene appearance. Each is represented as a quadratic term in an energy minimization problem, leading to a closed-form solution via a sparse linear system. We illustrate our method with a range of examples, demonstrating coherent natural-looking video output. The visual quality of individual frames is comparable to those produced by state-of-the-art methods for fisheye still photograph correction.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Fisheye lens, distortion, least-squares minimization, mesh, optimization, video correction, wide-angle lens
Publisher: IEEE
ISSN: 1077-2626
Funders: EPSRC
Last Modified: 05 Jun 2017 03:33
URI: http://orca-mwe.cf.ac.uk/id/eprint/36106

Citation Data

Cited 21 times in Google Scholar. View in Google Scholar

Cited 36 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item