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We introduce a novel Deep Network architecture that implements the full feature point handling pipeline, that is, detection, orientation estimation, and feature description.
Obstacle Avoidance and Navigation in the Real World by a Seeing Robot Rover
Moravec, H.: · 1980
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A Combined Corner and Edge Detector
Harris, C., Stephens, M.: · 1988
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Robust Wide Baseline Stereo from Maximally Stable Extremal Regions
Matas, J., Chum, O., Martin, U., Pajdla, T.: · 2002
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An Affine Invariant Interest Point Detector
Mikolajczyk, K., Schmid, C.: · 2002
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A Performance Evaluation of Local Descriptors
Mikolajczyk, K., Schmid, C.: · 2003
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Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D.: · 2004
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Scale and Affine Invariant Interest Point Detectors
Mikolajczyk, K., Schmid, C.: · 2004
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Machine Learning for High-Speed Corner Detection
Rosten, E., Drummond, T.: · 2006
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Using Evolution to Learn How to Perform Interest Point Detection
Trujillo, L., Olague, G.: · 2006
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Learning a Fast Emulator of a Binary Decision Process
Sochman, J., Matas, J.: · 2007
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Learning Local Image Descriptors
Winder, S., Brown, M.: · 2007
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SURF: Speeded Up Robust Features
Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: · 2008
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A Fast Local Descriptor for Dense Matching
Tola, E., Lepetit, V., Fua, P.: · 2008
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On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery
Strecha, C., Hansen, W., Van Gool, L., Fua, P., Thoennessen, U.: · 2008
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Gradient Descent Optimization of Smoothed Information Retrieval Metrics
Chapelle, O., Wu, M.: · 2009
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Detecting Interpretable and Accurate Scale-Invariant Keypoints
Förstner, W., Dickscheid, T., Schindler, F.: · 2009
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Daisy: An Efficient Dense Descriptor Applied to Wide Baseline Stereo
Tola, E., Lepetit, V., Fua, P.: · 2010
Cited alongside, same era.
Improving Sift-Based Descriptors Stability to Rotations
Bellavia, F., Tegolo, D.: · 2010
Cited alongside, same era.
Binary Coherent Edge Descriptors
Zitnick, C.: · 2010
Cited alongside, same era.
Object Detection with Discriminatively Trained Part Based Models
Felzenszwalb, P., Girshick, R., McAllester, D., Ramanan, D.: · 2010
Cited alongside, same era.
ORB: An Efficient Alternative to SIFT or SURF
Rublee, E., Rabaud, V., Konolidge, K., Bradski, G.: · 2011
SIFER: Scale-Invariant Feature Detector with Error Resilience
Mainali, P., Lafruit, G., Yang, Q., Geelen, B., Van Gool, L., Lauwereins, R.: · 2013
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Genetic Programming As Strategy for Learning Image Descriptor Operators
Perez, C., Olague, G.: · 2013
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Towards Linear-Time Incremental Structure from Motion
Wu, C.: · 2013
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Derivative-Based Scale Invariant Image Feature Detector with Error Resilience
Mainali, P., Lafruit, G., Tack, K., Van Gool, L., Lauwereins, R.: · 2014
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Learning Local Feature Descriptors Using Convex Optimisation
Simonyan, K., Vedaldi, A., Zisserman, A.: · 2014
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Robust Global Translations with 1DSfM
Wilson, K., Snavely, N.: · 2014
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Cited alongside, same era.
Edge Foci Interest Points
Zitnick, C., Ramnath, K.: · 2011
Cited alongside, same era.
Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descriptor
Fan, B., Wu, F., Hu, Z.: · 2011
Cited alongside, same era.
Local Intensity Order Pattern for Feature Description
Wang, Z., Fan, B., Wu, F.: · 2011
Cited alongside, same era.
BRISK: Binary Robust Invariant Scalable Keypoints
Leutenegger, S., Chli, M., Siegwart, R.: · 2011
Cited alongside, same era.
LDAHash: Improved Matching with Smaller Descriptors
Strecha, C., Bronstein, A., Bronstein, M., Fua, P.: · 2012
Cited alongside, same era.
Convolutional Neural Networks Applied to House Numbers Digit Classification
Sermanet, P., Chintala, S., LeCun, Y.: · 2012
Cited alongside, same era.
TILDE: A Temporally Invariant Learned DEtector
Verdie, Y., Yi, K.M., Fua, P., Lepetit, V.: · 2015
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MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
Han, X., Leung, T., Jia, Y., Sukthankar, R., Berg, A.C.: · 2015
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Learning to Compare Image Patches via Convolutional Neural Networks
Zagoruyko, S., Komodakis, N.: · 2015
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Discriminative Learning of Deep Convolutional Feature Point Descriptors
Simo-Serra, E., Trulls, E., Ferraz, L., Kokkinos, I., Fua, P., Moreno-Noguer, F.: · 2015
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Spatial Transformer Networks
Jaderberg, M., Simonyan, K., Zisserman, A., Kavukcuoglu, K.: · 2015
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Computing the Stereo Matching Cost with a Convolutional Neural Network
Zbontar, J., LeCun, Y.: · 2015
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Local Convolutional Features with Unsupervised Training for Image Retrieval
Paulin, M., Douze, M., Harchaoui, Z., Mairal, J., Perronnin, F., Schmid, C.: · 2015
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Learning to Assign Orientations to Feature Points
Yi, K., Verdie, Y., Lepetit, V., Fua, P.: · 2016
Closest in time.
PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors
Balntas, V., Johns, E., Tang, L., Mikolajczyk, K.: · 2016
Closest in time.