Improved feature matching technique in low overlap area

Daud, M.M. and Kadim, Z. and Woon, H.H. and Faye, I. and Malik, A.S. (2012) Improved feature matching technique in low overlap area. In: UNSPECIFIED.

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Abstract

Low overlap area is one of the problems in finding matching between two frames. When the camera moves on a static planar, the structure of the image deteriorates. As the camera moves, the same object might appear different with different camera views. Thus, it causes matching failure in subsequent images. We propose a rotation translation approach to assist existing feature matching algorithm. The method consists in rotating the image through a rotation translation model and applying Singular Value Decomposition (SVD) scheme and histogram patch similarity for filtering. The experimental results show that adding the proposed algorithm improves considerably the results in case of very small overlap region. © 2012 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 0; Conference of 2012 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2012 ; Conference Date: 3 December 2012 Through 4 December 2012; Conference Code:96336
Uncontrolled Keywords: Camera view; Feature matching; Feature matching algorithms; Low overlap area; Overlap region; Post processing; Translation models, Algorithms; Cameras; Computer applications; Industrial electronics; Singular value decomposition, Image matching
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:50
Last Modified: 09 Nov 2023 15:50
URI: https://khub.utp.edu.my/scholars/id/eprint/2470

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