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11

ICIP
2010
IEEE

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Image recognition using maximal cliques of interest points

13 years 2 months ago

Image recognition using maximal cliques of interest points

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This paper describes a method for extracting interest points in images and using interrelated groups or cliques to recognize structure common to pairs of images. Feature measurements are commonly selected intuitively and work well on data that are thoroughly understood. This approach avoids the use of global features and relies upon candidate interest points and their relationships with each other. The method is applied to photos of movies posters and the results are compared with those achieved with SIFT key points.

Fred Stentiford, Ade Bamidele

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Feature Measurements | ICIP 2010 | Image Processing | Interrelated Groups | SIFT Key Points |

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Added	12 Feb 2011
Updated	12 Feb 2011
Type	Journal
Year	2010
Where	ICIP
Authors	Fred Stentiford, Ade Bamidele

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