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Abstract: An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These features share similar properties with neurons in inferior temporal cortex that are used for object recognition in primate vision. Features are efficiently detected through a staged filtering approach that identifies stable points in scale space.... (Update)
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BibTeX entry: (Update)
D. Lowe, "Object Recognition from Local ScaleInvariant Features", ICCV, Kerkyra 1999. http://citeseer.ist.psu.edu/lowe99object.html More
@inproceedings{ lowe99object,
author = "David G. Lowe",
title = "Object Recognition from Local Scale-Invariant Features",
booktitle = "Proc. of the International Conference on Computer Vision {ICCV}, Corfu",
pages = "1150-1157",
year = "1999",
url = "citeseer.ist.psu.edu/lowe99object.html" }
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