Differential Invariants under Gamma Correction

نویسنده

  • Andreas Siebert
چکیده

This paper presents invariants under gamma correction and similarity transformations. The invariants are local features based on differentials which are implemented using derivatives of the Gaussian. The use of the proposed invariant representation is shown to yield improved correlation results in a template matching scenario.

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عنوان ژورنال:
  • CoRR

دوره cs.CV/0003079  شماره 

صفحات  -

تاریخ انتشار 2000