Title: Towards Invariant Interest Point Detection of an Object
Authors: Islam, Mohamed Saiful
Sluzek, Andrzej
Lin, Zhu
Citation: WSCG '2005: Short Papers: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS, p. 101-104.
Issue Date: 2005
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2005/Papers_2005/Short/!WSCG2005_Short_Proceedings_Final.pdf
ISBN: 80-903100-9-5
Keywords: zájmový bod;relativní škála;invariance;opakovatelnost
Keywords in different language: interest point;relative scale;invariance;repeatability
Abstract: Detection of some interest points on an object is useful for many applications, such as local shape description of the object, recognition of the object in clutter environment etc. The same object present in different images can have some geometric and photometric transformations with respect to one another. The detection method should be robust to all these transformations. We describe relative scale Harris method for interest point detection. This method is robust to linear geometric transformations. A threshold selection method is also described for invariance to intensity change, partial occlusion and clattered environment. Unlike multi-scale methods our method is fast enough to be suitable for real time applications.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2005: Short Papers

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11220

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