Universiti Teknologi Malaysia Institutional Repository

Enhanced rotational feature points matching using orientation correction

Goh, Kam Meng and Abu Bakar, Syed Abdul Rahman and Mohd. Mokji, Musa and Sheikh, Usman (2014) Enhanced rotational feature points matching using orientation correction. Electronic Letters on Computer Vision and Image Analysis, 13 (1). pp. 68-88. ISSN 1577-5097

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Abstract

In matching between images, several techniques have been developed particularly for estimating orientation assignment in order to make feature points invariant to rotation. However, imperfect estimation of the orientation assignment may lead to feature mismatching and a low number of correctly matched points. Additionally, several possible candidates with high correlation values for one feature in the reference image may lead to matching confusion. In this paper, we propose a post-processing matching technique that will not only increase the number of correctly matched points but also manage to solve the above mentioned two issues. The key idea is to modify feature orientation based on the relative rotational degree between two images, obtained by taking the difference between the major correctly matched points in the first matching cycle. From the analysis, our proposed method shows that the number of detected points correctly matched with the reference image can be increased by up to 50%. In addition, some mismatched points due to similar correlation values in the first matching round can be corrected. Another advantage of the proposed algorithm it that it can be applied to other state-of-the-art orientation assignment techniques

Item Type:Article
Uncontrolled Keywords:orientation, descriptor, matching, rotation
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:52697
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:01 Feb 2016 03:54
Last Modified:27 Sep 2018 04:14

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