Title:
Implementing-the-Scale-Invariant-Feature-Transfor
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Description: 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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Implementing the Scale Invariant Feature Transform(SIFT) Method.pdf
