Differential Invariants under Gamma Correction

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

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8 pages, 12 figures

Scientific paper

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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