Uses of Package
boofcv.alg.feature.detect.interest
Packages that use boofcv.alg.feature.detect.interest
Package
Description
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Classes in boofcv.alg.feature.detect.interest used by boofcv.abst.feature.describeClassDescriptionGenerates the pyramidal scale space as described in the SIFT [1] paper.
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Classes in boofcv.alg.feature.detect.interest used by boofcv.abst.feature.detdescClassDescriptionThe Fast Hessian (FH) [1] interest point detector is designed to be a fast multi-scale "blob" detector.
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Classes in boofcv.alg.feature.detect.interest used by boofcv.abst.feature.detect.interestClassDescriptionDetects features using
GeneralFeatureDetectorbut Handles all the derivative computations automatically.The Fast Hessian (FH) [1] interest point detector is designed to be a fast multi-scale "blob" detector.Feature detector across image pyramids that uses the Laplacian to determine strength in scale-space.Detects scale invariant interest/corner points by computing the feature intensities across a pyramid of different scales.Detects features which are local maximums and/or local minimums in the feature intensity image.Implementation of SIFT [1] feature detector.Generates the pyramidal scale space as described in the SIFT [1] paper. -
Classes in boofcv.alg.feature.detect.interest used by boofcv.abst.feature.orientationClassDescriptionGenerates the pyramidal scale space as described in the SIFT [1] paper.
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Classes in boofcv.alg.feature.detect.interest used by boofcv.abst.trackerClassDescriptionDetects features which are local maximums and/or local minimums in the feature intensity image.
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Classes in boofcv.alg.feature.detect.interest used by boofcv.alg.feature.detdescClassDescriptionThe Fast Hessian (FH) [1] interest point detector is designed to be a fast multi-scale "blob" detector.Implementation of SIFT [1] feature detector.Adds information about the scale space it was detected in for quick reference when computing the descriptorGenerates the pyramidal scale space as described in the SIFT [1] paper.
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Classes in boofcv.alg.feature.detect.interest used by boofcv.alg.feature.detect.interestClassDescriptionDetects features which are local maximums and/or local minimums in the feature intensity image.Adds information about the scale space it was detected in for quick reference when computing the descriptorGenerates the pyramidal scale space as described in the SIFT [1] paper.Set of images (scales) in a single octaveThe gradient for an image in the scale space.
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Classes in boofcv.alg.feature.detect.interest used by boofcv.factory.feature.detdescClassDescriptionThe Fast Hessian (FH) [1] interest point detector is designed to be a fast multi-scale "blob" detector.
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Classes in boofcv.alg.feature.detect.interest used by boofcv.factory.feature.detect.extractClassDescriptionDetects features which are local maximums and/or local minimums in the feature intensity image.
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Classes in boofcv.alg.feature.detect.interest used by boofcv.factory.feature.detect.interestClassDescriptionThe Fast Hessian (FH) [1] interest point detector is designed to be a fast multi-scale "blob" detector.Feature detector across image pyramids that uses the Laplacian to determine strength in scale-space.Detects scale invariant interest/corner points by computing the feature intensities across a pyramid of different scales.Detects features which are local maximums and/or local minimums in the feature intensity image.Implementation of SIFT [1] feature detector.
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Classes in boofcv.alg.feature.detect.interest used by boofcv.factory.trackerClassDescriptionDetects features which are local maximums and/or local minimums in the feature intensity image.
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Classes in boofcv.alg.feature.detect.interest used by boofcv.gui.featureClassDescriptionDetects features which are local maximums and/or local minimums in the feature intensity image.