A study of different unwarping methods for omnidirectional imaging

Citation

Wong, Wai Kit and Pua, Wee Shen and Loo, Chu Kiong and Lim, Way Soong (2012) A study of different unwarping methods for omnidirectional imaging. In: 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA2011). IEEE, pp. 433-438. ISBN 978-1-4577-0243-3

[img] Text
9.pdf
Restricted to Repository staff only

Download (886kB)

Abstract

Omni-directional imaging system is becoming more and more common in reducing the maintenance fees and the number of cameras used as well as increasing the angle of view in a single camera. Due to omni-directional images are not directly understandable,an approach namely the un-warping process, has been implemented in converting the omni-directional image to a panoramic image,making it understandable. There are different kinds of methods used for the implementation of this approach. This paper evaluates the performance of the 3 universal un-warping methods currently applied actively around the world in transforming omni-directionalimage to panoramic image, namely the pano-mapping table method, discrete geometry method (DGT) and the log-polar mappingmethod. The algorithm of these methods will first be proposed, and the code will then be generated and be tested on several differentomni-directional images. The images converted will then be compared among each other and be evaluated based on their performanceon the resolutions, quality, algorithm used, complexity based on Big-O computations, processing time, and finally their datacompression rate available for each of the methods. The most preferable un-warping method will then be concluded, taking intoconsiderations all these factors.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 20 Nov 2013 01:41
Last Modified: 29 Dec 2020 06:45
URII: http://shdl.mmu.edu.my/id/eprint/4438

Downloads

Downloads per month over past year

View ItemEdit (login required)