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Object Recognition from Local Scale-Invariant Features

Object Recognition from Local Scale-Invariant Features

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general assumptions on scale invariance, the Gaussian ker-nel and its derivatives are the only possible smoothing ker-nels for scale space analysis. To achieve rotation invariance and a high level of effi-ciency, we have chosen to select key locations at maxima and minima of a difference of Gaussian function applied in scale space.

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