Implementing the Scale Invariant Feature Transform(SIFT) Method
نویسنده
چکیده
The SIFT algorithm[1] takes an image and transforms it into a collection of local feature vectors. Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or translation of the image. In the original implementation, these features can be used to find distinctive objects in differerent images and the transform can be extended to match faces in images. This report describes our own implementation of the SIFT algorithm and highlights potential direction for future research.
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تاریخ انتشار 2006