A Simple and Efficient Feature Descriptor for Fast Matching
暂无分享,去创建一个
Anders Hast | V. A. Sablina | Ida-Maria Sintorn | Victoria A. Sablina | Gustaf Kylberg | G. Kylberg | A. Hast | I. Sintorn
[1] David G. Lowe,et al. Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration , 2009, VISAPP.
[2] Andrea Marchetti,et al. Rotation invariant feature matching-based on Gaussian filtered log polar transform and phase correlation , 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).
[3] Andrew Zisserman,et al. Multiple View Geometry , 1999 .
[4] Andrea Marchetti,et al. Optimal RANSAC-Towards a Repeatable Algorithm for Finding the Optimal Set , 2013, J. WSCG.
[5] Tobias Höllerer,et al. Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking , 2011, International Journal of Computer Vision.
[6] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[7] Rao-Blackwellized. Simultaneous Localization and Mapping ( SLAM ) , 2005 .
[8] Jiri Matas,et al. Locally Optimized RANSAC , 2003, DAGM-Symposium.
[9] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[10] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[11] Pierre Vandergheynst,et al. FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[13] Anatoly I. Novikov,et al. An approach to the image superimposition problem in multispectral computer vision systems , 2013, 2013 2nd Mediterranean Conference on Embedded Computing (MECO).
[14] Cordelia Schmid,et al. A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..
[15] B. S. Manjunath,et al. A Mathematical Comparison of Point Detectors , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[16] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Keinosuke Fukunaga,et al. A Branch and Bound Algorithm for Computing k-Nearest Neighbors , 1975, IEEE Transactions on Computers.
[18] Cordelia Schmid,et al. Evaluation of Interest Point Detectors , 2000, International Journal of Computer Vision.
[19] Anders Hast,et al. Incremental Spherical Linear Interpolation , 2004 .
[20] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[21] Tom Drummond,et al. Machine Learning for High-Speed Corner Detection , 2006, ECCV.
[22] D. Lowe,et al. Fast Matching of Binary Features , 2012, 2012 Ninth Conference on Computer and Robot Vision.
[23] S. M. Steve. SUSAN - a new approach to low level image processing , 1997 .
[24] Allen R. Tannenbaum,et al. A new distance measure based on generalized Image Normalized Cross-Correlation for robust video tracking and image recognition , 2013, Pattern Recognit. Lett..
[25] Hugh Durrant-Whyte,et al. Simultaneous localization and mapping (SLAM): part II , 2006 .
[26] Jon Louis Bentley,et al. An Algorithm for Finding Best Matches in Logarithmic Expected Time , 1977, TOMS.
[27] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[28] Matthew A. Brown,et al. Automatic Panoramic Image Stitching using Invariant Features , 2007, International Journal of Computer Vision.
[29] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[30] Anders Hast. Robust and Invariant Phase Based Local Feature Matching , 2014, 2014 22nd International Conference on Pattern Recognition.