Evaluation of interest points and descriptors. Introduction Quantitative evaluation of interest point detectors –points / regions at the same relative.

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Presentation transcript:

Evaluation of interest points and descriptors

Introduction Quantitative evaluation of interest point detectors –points / regions at the same relative location => repeatability rate Quantitative evaluation of descriptors –distinctiveness => detection rate with respect to false positives

Quantitative evaluation of detectors Repeatability rate : percentage of corresponding points Two points are corresponding if 1.The location error is less than 1.5 pixel 2.The intersection error is less than 20% homography

Comparison of different detectors [Comparing and Evaluating Interest Points, Schmid, Mohr & Bauckhage, ICCV 98] repeatability - image rotation

Comparison of different detectors [Comparing and Evaluating Interest Points, Schmid, Mohr & Bauckhage, ICCV 98] repeatability – perspective transformation

Harris detector + scale changes

Harris detector – adaptation to scale

Evaluation of scale invariant detectors repeatability – scale changes

Evaluation of affine invariant detectors repeatability – perspective transformation

Quantitative evaluation of descriptors Evaluation of different local features –SIFT, steerable filters, differential invariants, moment invariants, cross-correlation Measure : distinctiveness –receiver operating characteristics of detection rate with respect to false positives –detection rate = correct matches / possible matches –false positives = false matches / (database points * query points) [A performance evaluation of local descriptors, Mikolajczyk & Schmid, CVPR’03]

Experimental evaluation

Scale change (factor 2.5) Harris-LaplaceDoG

Viewpoint change (60 degrees) Harris-Affine (Harris-Laplace)

Descriptors - conclusion SIFT + steerable perform best Performance of the descriptor independent of the detector Errors due to imprecision in region estimation, localization