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An Analysis of the SURF Method
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-47969-4_9openalex-snapshot
An Affine Invariant Interest Point Detector
inferredcites →https://doi.org/10.1007/978-1-4757-6465-9openalex-snapshot
Scale-Space Theory in Computer Vision
inferredcites →https://doi.org/10.1007/978-3-642-24785-9_38openalex-snapshot
Theoretical Foundations of Gaussian Convolution by Extended Box Filtering
inferredcites →https://doi.org/10.1007/bf00135225openalex-snapshot
Scale-space behaviour of local extrema and blobs
inferredcites →https://doi.org/10.1007/s11263-005-3848-xopenalex-snapshot
A Comparison of Affine Region Detectors
inferredcites →https://doi.org/10.1016/b978-0-12-466606-1.x5000-4openalex-snapshot
A Wavelet Tour of Signal Processing
inferredcites →https://doi.org/10.1016/j.cviu.2007.09.014openalex-snapshot
Speeded-Up Robust Features (SURF)
inferredcites →https://doi.org/10.1023/a:1008045108935openalex-snapshot
Feature Detection with Automatic Scale Selection
inferredcites →https://doi.org/10.1023/b:visi.0000013094.38752.54openalex-snapshot
A Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix
inferredcites →https://doi.org/10.1023/b:visi.0000027790.02288.f2openalex-snapshot
Scale & Affine Invariant Interest Point Detectors
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot
Rapid object detection using a boosted cascade of simple features
inferredcites →https://doi.org/10.1109/iccv.1999.790410openalex-snapshot
Object recognition from local scale-invariant features
inferredcites →https://doi.org/10.1109/icpr.2006.479openalex-snapshot
Efficient Non-Maximum Suppression
inferredcites →https://doi.org/10.1109/icpr.2008.4761371openalex-snapshot
A contrario matching of SIFT-like descriptors
inferredcites →https://doi.org/10.1109/tpami.2009.77openalex-snapshot
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
inferredcites →https://doi.org/10.3929/ethz-a-005212689openalex-snapshot
From wide-baseline point and line correspondences to 3D
inferredcites →https://doi.org/10.5201/ipol.2011.my-asiftopenalex-snapshot
ASIFT: An Algorithm for Fully Affine Invariant Comparison
inferredcites →https://doi.org/10.5201/ipol.2012.mmm-ohopenalex-snapshot
Automatic Homographic Registration of a Pair of Images, with A Contrario Elimination of Outliers
inferredcites →https://doi.org/10.5201/ipol.2013.87openalex-snapshot
A Survey of Gaussian Convolution Algorithms
inferredcites →https://doi.org/10.5244/c.16.23openalex-snapshot
Invariant Features from Interest Point Groups
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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