Boosting Binary Keypoint Descriptors
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Vincent Lepetit | Pascal Fua | Tomasz Trzcinski | C. Mario Christoudias | P. Fua | V. Lepetit | T. Trzciński | Mario Christoudias | C. M. Christoudias | Vincent Lepetit | Tomasz Trzcinski
[1] Vincent Lepetit,et al. BRIEF: Computing a Local Binary Descriptor Very Fast , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Vincent Lepetit,et al. Learning Image Descriptors with the Boosting-Trick , 2012, NIPS.
[3] Geoffrey E. Hinton,et al. Semantic hashing , 2009, Int. J. Approx. Reason..
[4] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[5] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[6] Ji Zhu,et al. Boosting as a Regularized Path to a Maximum Margin Classifier , 2004, J. Mach. Learn. Res..
[7] Rongrong Ji,et al. Supervised hashing with kernels , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Vincent Lepetit,et al. Efficient Discriminative Projections for Compact Binary Descriptors , 2012, ECCV.
[9] Ya Zhang,et al. Boosted multi-task learning , 2010, Machine Learning.
[10] Trevor Darrell,et al. The pyramid match kernel: discriminative classification with sets of image features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[11] Antonio Torralba,et al. Multidimensional Spectral Hashing , 2012, ECCV.
[12] Trevor Darrell,et al. Learning to Hash with Binary Reconstructive Embeddings , 2009, NIPS.
[13] David J. Fleet,et al. Minimal Loss Hashing for Compact Binary Codes , 2011, ICML.
[14] Svetlana Lazebnik,et al. Iterative quantization: A procrustean approach to learning binary codes , 2011, CVPR 2011.
[15] David J. Fleet,et al. Fast search in Hamming space with multi-index hashing , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Rabab Kreidieh Ward,et al. A Fast Approximate Nearest Neighbor Search Algorithm in the Hamming Space , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Ethan Rublee,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[18] Bernd Girod,et al. CHoG: Compressed histogram of gradients A low bit-rate feature descriptor , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[20] Antonio Torralba,et al. Spectral Hashing , 2008, NIPS.
[21] Shih-Fu Chang,et al. Sequential Projection Learning for Hashing with Compact Codes , 2010, ICML.
[22] Roland Siegwart,et al. BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.
[23] Andrew Zisserman,et al. Descriptor Learning Using Convex Optimisation , 2012, ECCV.
[24] Pascal Fua,et al. A Real-Time Deformable Detector , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Gregory Shakhnarovich,et al. Learning task-specific similarity , 2005 .
[26] Yoram Singer,et al. Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.
[27] C. Lawrence Zitnick,et al. Binary Coherent Edge Descriptors , 2010, ECCV.
[28] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[29] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[30] Cordelia Schmid,et al. Aggregating local descriptors into a compact image representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[31] Pietro Perona,et al. Integral Channel Features , 2009, BMVC.
[32] Antonio Torralba,et al. Small codes and large image databases for recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Guanghui Wang,et al. Quasi-perspective Projection Model: Theory and Application to Structure and Motion Factorization from Uncalibrated Image Sequences , 2010, International Journal of Computer Vision.
[34] Gang Hua,et al. Discriminative Learning of Local Image Descriptors , 1990, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[36] Inderjit S. Dhillon,et al. Metric and Kernel Learning Using a Linear Transformation , 2009, J. Mach. Learn. Res..
[37] Pascal Fua,et al. LDAHash: Improved Matching with Smaller Descriptors , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.