Achieving high multi-modal registration performance using simplified Hough-transform with improved symmetric-SIFT

Title: Achieving high multi-modal registration performance using simplified Hough-transform with improved symmetric-SIFT
Creator: Hossain, Md Tanvir; Teng, Shyh; Lu, Guojun
Date: 2012
Type: Text; Conference paper
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/161580
Identifier: vital:12472
Identifier: https://doi.org/10.1109/DICTA.2012.6411676
Abstract: The traditional way of using Hough Transform with SIFT is for the purpose of reliable object recognition. However, it cannot be effectively applied to image registration in the same way as the recall rate can be significantly lower. In this paper, we propose an alternative implementation of Hough Transform that can be used with Improved Symmetric-SIFT for multi-modal image registration. Our experimental results show that the proposed technique of applying Hough Transform can significantly improve the key-point matching as well as registration accuracy by utilizing aggregated information from key-points throughout the input images.
Publisher: IEEE
Relation: 14th International Conference on Digital Image Computing Techniques and Applications, DICTA 2012
Rights: This metadata is freely available under a CCO license
Subject: 0801 Artificial Intelligence and Image Processing
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