Abstract
![CDATA[Image matching is a well researched topic of computer vision. Several new algorithms have been developed in recent times to deal with repetitive pattern matching and affine invariant matching. This paper presents two improvements over the state-of-the-art Affine-Scale Invariant Feature Transform (ASIFT) algorithm. The first improvement enables ASIFT to match repetitive patterns through the use of Graph Transformation Matching. The second increases the accuracy of matching by estimating the transformation between views more precisely. Results show that the proposed method is able to successfully match repetitive patterns such as the checkerboard. An increase in the number of matches can also be seen for matching views under severe affine transformations or projections.]]
Original language | English |
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Title of host publication | IEEE International Conference on Image Processing ICIP 2010: Proceedings, September 26–29, 2010, Hong Kong |
Publisher | IEEE |
Pages | 2949-2952 |
Number of pages | 4 |
ISBN (Print) | 9781424479948 |
DOIs | |
Publication status | Published - 2010 |
Event | IEEE International Conference on Image Processing - Duration: 17 Sept 2017 → … |
Conference
Conference | IEEE International Conference on Image Processing |
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Period | 17/09/17 → … |
Keywords
- Affine-SIFT (ASIFT)
- image registration