Learning to Assign Orientations to Feature Points
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Vincent Lepetit | Pascal Fua | Kwang Moo Yi | Yannick Verdie | P. Fua | V. Lepetit | K. M. Yi | Yannick Verdie
[1] Steven M. Seitz,et al. Multicore bundle adjustment , 2011, CVPR 2011.
[2] François Fleuret,et al. Improving Object Classification using Pose Information , 2012 .
[3] Nikos Komodakis,et al. Learning to compare image patches via convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Yann LeCun,et al. Synergistic Face Detection and Pose Estimation with Energy-Based Models , 2004, J. Mach. Learn. Res..
[5] Kun Liu,et al. Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates , 2014, International Journal of Computer Vision.
[6] Shuning Wang,et al. Generalization of hinging hyperplanes , 2005, IEEE Transactions on Information Theory.
[7] Bin Fan,et al. Local Intensity Order Pattern for feature description , 2011, 2011 International Conference on Computer Vision.
[8] Cordelia Schmid,et al. Scale & Affine Invariant Interest Point Detectors , 2004, International Journal of Computer Vision.
[9] Emanuele Trucco,et al. Improving SIFT-based Descriptors Stability to Rotations , 2010, 2010 20th International Conference on Pattern Recognition.
[10] Razvan Pascanu,et al. Theano: new features and speed improvements , 2012, ArXiv.
[11] Pascal Fua,et al. Receptive Fields Selection for Binary Feature Description , 2014, IEEE Transactions on Image Processing.
[12] Gang Hua,et al. Discriminative Learning of Local Image Descriptors , 1990, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Tom Drummond,et al. Binary Histogrammed Intensity Patches for Efficient and Robust Matching , 2011, International Journal of Computer Vision.
[14] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[15] Yann LeCun,et al. Learning a similarity metric discriminatively, with application to face verification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[16] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[17] Pietro Perona,et al. Evaluation of Features Detectors and Descriptors based on 3D Objects , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[18] Yoshua Bengio,et al. Maxout Networks , 2013, ICML.
[19] Matthew A. Brown,et al. Picking the best DAISY , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Zhanyi Hu,et al. Aggregating gradient distributions into intensity orders: A novel local image descriptor , 2011, CVPR 2011.
[21] Adrien Bartoli,et al. KAZE Features , 2012, ECCV.
[22] Q. M. Jonathan Wu,et al. A comparative experimental study of image feature detectors and descriptors , 2015, Machine Vision and Applications.
[23] Pierre Vandergheynst,et al. FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Vincent Lepetit,et al. Learning Image Descriptors with Boosting , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Vincent Lepetit,et al. Online learning of patch perspective rectification for efficient object detection , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Brendan McCane,et al. Better than SIFT? , 2015, Machine Vision and Applications.
[27] Kok-Lim Low,et al. Aligning images in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Ethan Rublee,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[29] Domenico Tegolo,et al. Keypoint descriptor matching with context-based orientation estimation , 2014, Image Vis. Comput..
[30] Iasonas Kokkinos,et al. Discriminative Learning of Deep Convolutional Feature Point Descriptors , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[31] Cordelia Schmid,et al. An Affine Invariant Interest Point Detector , 2002, ECCV.
[32] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[33] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[34] Pascal Fua,et al. On benchmarking camera calibration and multi-view stereo for high resolution imagery , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Henrik Aanæs,et al. Interesting Interest Points , 2011, International Journal of Computer Vision.
[36] C. Lawrence Zitnick,et al. Binary Coherent Edge Descriptors , 2010, ECCV.
[37] Vincent Lepetit,et al. DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Andrew Zisserman,et al. Learning Local Feature Descriptors Using Convex Optimisation , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Vincent Lepetit,et al. TILDE: A Temporally Invariant Learned DEtector , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Changchang Wu,et al. Towards Linear-Time Incremental Structure from Motion , 2013, 2013 International Conference on 3D Vision.
[41] Didier Stricker,et al. Learning Local Patch Orientation with a Cascade of Sparse Regressors , 2009, BMVC.
[42] Cordelia Schmid,et al. Semi-Local Affine Parts for Object Recognition , 2004, BMVC.
[43] Cordelia Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Cordelia Schmid,et al. Human Detection Based on a Probabilistic Assembly of Robust Part Detectors , 2004, ECCV.
[45] Yann LeCun,et al. Signature Verification Using A "Siamese" Time Delay Neural Network , 1993, Int. J. Pattern Recognit. Artif. Intell..
[46] Roland Siegwart,et al. BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.
[47] Tobias Höllerer,et al. Improving Keypoint Orientation Assignment , 2011, BMVC.
[48] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[49] Richard Szeliski,et al. Multi-image matching using multi-scale oriented patches , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[50] C. Lawrence Zitnick,et al. Edge foci interest points , 2011, 2011 International Conference on Computer Vision.
[51] Vladimir Pekar,et al. Full orientation invariance and improved feature selectivity of 3D SIFT with application to medical image analysis , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.