- 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
- ©2012 IEEE
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0801 Artificial Intelligence and Image Processing
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