Differential Invariants under Gamma Correction

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dc.creatorSiebert, Andreas
dc.date2000-03-26
dc.date.accessioned2026-07-07T03:16:08Z
dc.date.available2026-07-07T03:16:08Z
dc.descriptionThis 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.
dc.description8 pages, 12 figures
dc.identifierhttps://arxiv.org/abs/cs/0003079
dc.identifierhttp://arxiv.org/abs/cs/0003079
dc.identifierVision Interface 2000, Montreal, 2000
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30236
dc.subjectComputer Vision and Pattern Recognition
dc.subjectI.4.7
dc.titleDifferential Invariants under Gamma Correction
dc.typetext

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