Tree-Based Morse Regions: A Topological Approach to Local Feature Detection
暂无分享,去创建一个
Pascal Monasse | Yongchao Xu | Laurent Najman | Thierry Géraud | T. Géraud | Laurent Najman | P. Monasse | Yongchao Xu
[1] Emmanuel Bertin,et al. Effective Component Tree Computation with Application to Pattern Recognition in Astronomical Imaging , 2007, 2007 IEEE International Conference on Image Processing.
[2] Pascal Monasse,et al. OpenMVG: Open Multiple View Geometry , 2016, RRPR@ICPR.
[3] Tony Lindeberg,et al. Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.
[4] Henrik Aanæs,et al. Interesting Interest Points , 2011, International Journal of Computer Vision.
[5] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[6] Thierry Géraud,et al. A Comparison of Many Max-tree Computation Algorithms , 2013, ISMM.
[7] David Nistér,et al. Linear Time Maximally Stable Extremal Regions , 2008, ECCV.
[8] R. Smullyan. ANNALS OF MATHEMATICS STUDIES , 1961 .
[9] Cordelia Schmid,et al. A Comparison of Affine Region Detectors , 2005, International Journal of Computer Vision.
[10] Pierre Vandergheynst,et al. FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Stepán Obdrzálek,et al. Stable Affine Frames on Isophotes , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[12] V. Caselles,et al. Geometric Description of Images as Topographic Maps , 2009 .
[13] Cordelia Schmid,et al. Evaluation of Interest Point Detectors , 2000, International Journal of Computer Vision.
[14] 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.
[15] Darius Burschka,et al. Adaptive and Generic Corner Detection Based on the Accelerated Segment Test , 2010, ECCV.
[16] Herbert Edelsbrunner,et al. Topological Persistence and Simplification , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[17] R. Deriche. Recursively Implementing the Gaussian and its Derivatives , 1993 .
[18] Roland Siegwart,et al. BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.
[19] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[20] R. Deriche. Recursively implementating the Gaussian and its derivatives , 1993 .
[21] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[22] David G. Lowe,et al. Shape Descriptors for Maximally Stable Extremal Regions , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[23] Cordelia Schmid,et al. Scale & Affine Invariant Interest Point Detectors , 2004, International Journal of Computer Vision.
[24] Philippe Salembier,et al. Antiextensive connected operators for image and sequence processing , 1998, IEEE Trans. Image Process..
[25] Steven M. Seitz,et al. Photo tourism: exploring photo collections in 3D , 2006, ACM Trans. Graph..
[26] Guang-Zhong Yang,et al. Probabilistic Tracking of Affine-Invariant Anisotropic Regions , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Lionel Moisan,et al. A Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix , 2004, International Journal of Computer Vision.
[28] Horst Bischof,et al. Efficient Maximally Stable Extremal Region (MSER) Tracking , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[29] Tosiyasu L. Kunii,et al. Algorithms for Extracting Correct Critical Points and Constructing Topological Graphs from Discrete Geographical Elevation Data , 1995, Comput. Graph. Forum.
[30] Krystian Mikolajczyk,et al. Evaluation of local detectors and descriptors for fast feature matching , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[31] Tom Drummond,et al. Faster and Better: A Machine Learning Approach to Corner Detection , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Huizhong Chen,et al. The stanford mobile visual search data set , 2011, MMSys.
[33] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[34] T. Kanade,et al. Extracting topographic terrain features from elevation maps , 1994 .
[35] Valerio Pascucci,et al. Contour trees and small seed sets for isosurface traversal , 1997, SCG '97.
[36] Lionel Moisan,et al. Automatic Homographic Registration of a Pair of Images, with A Contrario Elimination of Outliers , 2012, Image Process. Line.
[37] J. Koenderink. The structure of images , 2004, Biological Cybernetics.
[38] Michel Couprie,et al. Building the Component Tree in Quasi-Linear Time , 2006, IEEE Transactions on Image Processing.
[39] Jean Ponce,et al. Accurate, Dense, and Robust Multiview Stereopsis , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[41] Hugues Talbot,et al. Recursive filtering of images with symmetric extension , 2005, Signal Process..
[42] 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.
[43] Lionel Moisan,et al. Meaningful Alignments , 2000, International Journal of Computer Vision.
[44] Tom Drummond,et al. Machine Learning for High-Speed Corner Detection , 2006, ECCV.
[45] Jiri Matas,et al. Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..