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A Study of Different Unwarping Methods for Omnidirectional Imaging

Computer Technology and Application 2012年第3期3卷 226-239页

作者： Wee Shen Pua Wai Kit Wong Chu Kiong Loo Way Soong Lim Faculty of Engineering and Technology Multimedia University （MMU） FET Building Jln Ayer Keroh Lama 75450 Melaka Malaysia Faculty of Computer Science and Information Technology University of Malaya Lembah Pantai 50603 Kuala Lumpur Malaysia

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-directional image to panoramic image, namely the pano-mapping table method, discrete geometry method （DGT） and the log-polar mapping method. The algorithm of these methods will first be proposed, and the code will then be generated and be tested on several different omni-directional images. The images converted will then be compared among each other and be evaluated based on their performance on the resolutions, quality, algorithm used, complexity based on Big-O computations, processing time, and finally their data compression rate available for each of the methods. The most preferable un-warping method will then be concluded, taking into considerations all these factors.

关键词： Omnidirectional image evaluation of image quality un-warping discrete geometry techniques DGT (discrete geometrymethod) pano-mapping table method log-polar mapping.

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