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Evaluation of interest points and descriptors

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.

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Evaluation of interest points and descriptors

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  1. Evaluation of interest points and descriptors

  2. 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

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

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

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

  6. Harris detector + scale changes

  7. Harris detector – adaptation to scale

  8. Evaluation of scale invariant detectors repeatability – scale changes

  9. Evaluation of affine invariant detectors repeatability – perspective transformation 0 40 60 70

  10. 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]

  11. Experimental evaluation

  12. Scale change (factor 2.5) Harris-Laplace DoG

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

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

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