Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2000-03-26
Vision Interface 2000, Montreal, 2000
Computer Science
Computer Vision and Pattern Recognition
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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