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Local covariant feature detection, namely the problem of extracting viewpoint invariant features from images, has so far largely resisted the application of machine learning techniques.
Angle detection on digital curves
A. Rosenfeld and E. Johnston · 1973
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A corner-finding algorithm for chain-coded curves
H. Freeman and L. S. Davis · 1977
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Rotationally invariant image operators
P. R. Beaudet · 1978
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A parallel procedure for the detection of dominant points on a digital curve
P. Sankar and C. Sharma · 1978
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A feature based correspondence algorithm for image matching
W. Förstner · 1986
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Corner characterization by differential geometry techniques
A. Guiducci · 1988
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A combined corner and edge detector
C. Harris and M. Stephens · 1988
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Recognizing corners by fitting parametric models
K. Rohr · 1992
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Scale-Space Theory in Computer Vision
T. Lindeberg · 1994
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Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D brightness structure
T. Lindeberg and J. Garding · 1994
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A neural network based corner detection method
P. Dias, A. Kassim, and V. Srinivasan · 1995
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Susan – a new approach to low level image processing
S. M. Smith and J. M. Brady · 1995
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Local greyvalue invariants for image retrieval
C. Schmid and R. Mohr · 1997
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Gradient-based learning applied to document recognition
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Feature detection with automatic scale selection
T. Lindeberg · 1998
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Matching images with different resolutions
Y. Dufournaud, C. Schmid, and R. Horaud · 1999
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Object recognition from local scale-invariant features
D. G. Lowe · 1999
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Reliable feature matching across widely separated views
A. M. Baumberg · 2000
Cited alongside, same era.
Wide baseline stereo matching based on local, affinely invariant regions
T. Tuytelaars and L. Van Gool · 2000
Cited alongside, same era.
Saliency, scale and image description
T. Kadir and M. Brady · 2001
Cited alongside, same era.
Indexing based on scale invariant interest points
K. Mikolajczyk and C. Schmid · 2001
Cited alongside, same era.
Viewpoint invariant texture matching and wide baseline stereo
F. Schaffalitzky and A. Zisserman · 2001
Cited alongside, same era.
Learning fast emulators of binary decision processes
J. Sochman and J. Matas · 2009
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Faster and better: a machine learning approach to corner detection
E. Rosten, R. Porter, and T. Drummond · 2010
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Increasing the accuracy of feature evaluation benchmarks using differential evolution
K. Cordes, B. Rosenhahn, and J. Ostermann · 2011
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Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming
G. Olague and L. Trujillo · 2011
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Interesting interest points
H. Aanæs, A. Dahl, and K. Steenstrup Pedersen · 2012
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Learning to efficiently detect repeatable interest points in depth data
S. Holzer, J. Shotton, and P. Kohli · 2012
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J. Matas, S. Obdrzálek, and O. Chum · 2002
Cited alongside, same era.
An affine invariant interest point detector
K. Mikolajczyk and C. Schmid · 2002
Cited alongside, same era.
Distinctive image features from scale-invariant keypoints
D. G. Lowe · 2004
Cited alongside, same era.
Detecting keypoints with stable position, orientation, and scale under illumination changes
B. Triggs · 2004
Cited alongside, same era.
Fusing points and lines for high performance tracking
E. Rosten and T. Drummond · 2005
Cited alongside, same era.
A mathematical comparison of point detectors
M. Zuliani, C. Kenney, and B. S. Manjunath · 2005
Cited alongside, same era.
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Imagenet large scale visual recognition challenge, 2014
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2014
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Matchnet: Unifying feature and metric learning for patch-based matching
X. Han, T. Leung, Y. Jia, R. Sukthankar, and A. C. Berg · 2015
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Modeling local and global deformations in deep learning: Epitomic convolution, multiple instance learning, and sliding window detection
G. Papandreou, I. Kokkinos, and P.-A. Savalle · 2015
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Local convolutional features with unsupervised training for image retrieval
M. Paulin, M. Douze, Z. Harchaoui, J. Mairal, F. Perronin, and C. Schmid · 2015
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Discriminative learning of deep convolutional feature point descriptors
E. Simo-Serra, E. Trulls, L. Ferraz, I. Kokkinos, P. Fua, and F. Moreno-Noguer · 2015
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Matconvnet – convolutional neural networks for matlab
A. Vedaldi and K. Lenc · 2015
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Learning to compare image patches via convolutional neural networks
S. Zagoruyko and N. Komodakis · 2015
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Computing the stereo matching cost with a convolutional neural network
J. Zbontar and Y. LeCun · 2015
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Learning to Assign Orientations to Feature Points
K. M. Yi, Y. Verdie, P. Fua, and V. Lepetit · 2016
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