2002 | OriginalPaper | Buchkapitel
A Fast Radial Symmetry Transform for Detecting Points of Interest
verfasst von : Gareth Loy, Alexander Zelinsky
Erschienen in: Computer Vision — ECCV 2002
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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A new feature detection technique is presented that utilises local radial symmetry to identify regions of interest within a scene. This transform is significantly faster than existing techniques using radial symmetry and offers the possibility of real-time implementation on a standard processor. The new transform is shown to perform well on a wide variety of images and its performance is tested against leading techniques from the literature. Both as a facial feature detector and as a generic region of interest detector the new transform is seen to offer equal or superior performance to contemporary techniques whilst requiring drastically less computational effort.