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Anatomy of the SIFT 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/10.1007/11744023_34openalex-snapshot
Machine Learning for High-Speed Corner Detection
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Fourier Analysis and Applications
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Scale-Space Theory in Computer Vision
inferredcites →https://doi.org/10.1007/978-3-540-88690-7_3openalex-snapshot
SIFT Flow: Dense Correspondence across Different Scenes
inferredcites →https://doi.org/10.1007/978-3-540-88690-7_37openalex-snapshot
A Linear Time Histogram Metric for Improved SIFT Matching
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CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching
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Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems
inferredcites →https://doi.org/10.1007/978-3-642-15552-9_14openalex-snapshot
Adaptive and Generic Corner Detection Based on the Accelerated Segment Test
inferredcites →https://doi.org/10.1007/978-3-642-15561-1_56openalex-snapshot
BRIEF: Binary Robust Independent Elementary Features
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Measuring the Coverage of Interest Point Detectors
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Axioms and fundamental equations of image processing
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A framework for low level feature extraction
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A Comparison of Affine Region Detectors
inferredcites →https://doi.org/10.1007/s11263-006-9794-4openalex-snapshot
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
inferredcites →https://doi.org/10.1007/s11263-010-0340-zopenalex-snapshot
Coding Images with Local Features
inferredcites →https://doi.org/10.1007/s11263-013-0622-3openalex-snapshot
SIFER: Scale-Invariant Feature Detector with Error Resilience
inferredcites →https://doi.org/10.1016/j.cviu.2008.08.006openalex-snapshot
Object tracking using SIFT features and mean shift
inferredcites →https://doi.org/10.1016/j.imavis.2004.02.006openalex-snapshot
Robust wide-baseline stereo from maximally stable extremal regions
inferredcites →https://doi.org/10.1023/a:1007959616598openalex-snapshot
Affine Morphological Multiscale Analysis of Corners and Multiple Junctions
inferredcites →https://doi.org/10.1023/a:1007963824710openalex-snapshot
SUSAN—A New Approach to Low Level Image Processing
inferredcites →https://doi.org/10.1023/a:1008199403446openalex-snapshot
Evaluation of Interest Point Detectors
inferredcites →https://doi.org/10.1023/a:1008344623873openalex-snapshot
Linear Scale-Space has First been Proposed in Japan
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.2004.1315206openalex-snapshot
PCA-SIFT: a more distinctive representation for local image descriptors
inferredcites →https://doi.org/10.1109/cvpr.2005.235openalex-snapshot
Multi-Image Matching Using Multi-Scale Oriented Patches
inferredcites →https://doi.org/10.1109/cvpr.2008.4587673openalex-snapshot
A fast local descriptor for dense matching
inferredcites →https://doi.org/10.1109/cvpr.2011.5995461openalex-snapshot
Rank-SIFT: Learning to rank repeatable local interest points
inferredcites →https://doi.org/10.1109/iccv.1999.790410openalex-snapshot
Object recognition from local scale-invariant features
inferredcites →https://doi.org/10.1109/iccv.2009.5459458openalex-snapshot
Detecting interpretable and accurate scale-invariant keypoints
inferredcites →https://doi.org/10.1109/iccv.2011.6126542openalex-snapshot
BRISK: Binary Robust invariant scalable keypoints
inferredcites →https://doi.org/10.1109/iccv.2011.6126544openalex-snapshot
ORB: An efficient alternative to SIFT or SURF
inferredcites →https://doi.org/10.1109/icip.2010.5651928openalex-snapshot
Towards high-precision lens distortion correction
inferredcites →https://doi.org/10.1109/tac.1979.1102177openalex-snapshot
An algorithm for tracking multiple targets
inferredcites →https://doi.org/10.1109/tcom.1983.1095851openalex-snapshot
The Laplacian Pyramid as a Compact Image Code
inferredcites →https://doi.org/10.1109/tpami.1984.4767504openalex-snapshot
Fast Computation of the Difference of Low-Pass Transform
inferredcites →https://doi.org/10.1109/tpami.1986.4767749openalex-snapshot
Uniqueness of the Gaussian Kernel for Scale-Space Filtering
inferredcites →https://doi.org/10.1109/tpami.2009.155openalex-snapshot
WLD: A Robust Local Image Descriptor
inferredcites →https://doi.org/10.1137/090751359openalex-snapshot
A Statistical Approach to the Matching of Local Features
inferredcites →https://doi.org/10.1561/0600000017openalex-snapshot
Local Invariant Feature Detectors: A Survey
inferredcites →https://doi.org/10.3390/s130810876openalex-snapshot
Rapid Online Analysis of Local Feature Detectors and Their Complementarity
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.2013.87openalex-snapshot
A Survey of Gaussian Convolution Algorithms
inferredcites →https://doi.org/10.5201/ipol.2016.117openalex-snapshot
Computing an Exact Gaussian Scale-Space
inferredcites →https://doi.org/10.5860/choice.29-2747openalex-snapshot
Object recognition by computer: the role of geometric constraints
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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