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Abstract
Local features up to now are often mentioned in the meaning of interest points. A patch around each point is formed to compute descriptors or feature vectors. Therefore, in order to satisfy different invariant imaging conditions such as scales and viewpoints, an input image is often represented in a scale-space, i.e. size of patches are defined by their corresponding scales. Our proposed technique for detecting local features is different, where no scale-space is required, by dividing the given image into a number of triangles with sizes dependent on the content of the image at the location of each triangle. In this paper, we demonstrate that the triangular representation of images provide invariant features of the image. Experiments using these features show higher retrieval performance over existing methods.
Original language | English |
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Title of host publication | International Conference on Computer Vision Theory and Applications |
Number of pages | 6 |
Publisher | Institute for Systems and Technologies of Information, Control and Communication |
Publication date | 2010 |
Pages | 1-6 |
ISBN (Electronic) | 978-989-674-028-3 |
Publication status | Published - 2010 |
Event | The International Conference on Computer Vision Theory and Applications - Angers, France Duration: 17 May 2010 → 21 May 2010 |
Conference
Conference | The International Conference on Computer Vision Theory and Applications |
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Country/Territory | France |
City | Angers |
Period | 17/05/2010 → 21/05/2010 |
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Dive into the research topics of 'A new approach for detecting local features'. Together they form a unique fingerprint.Projects
- 1 Finished
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IPCity: Integrated Project on Interaction and Presence in Urban Environments
Andersen, H. J. & Nguyen, P. G.
01/01/2006 → 01/01/2010
Project: Research