Bags of Binary Words for Fast Place Recognition in Image Sequences
暂无分享,去创建一个
[1] Thomas Wiegand,et al. SIFT Implementation and Optimization for General-Purpose GPU , 2007 .
[2] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[3] Francisco Angel Moreno,et al. A collection of outdoor robotic datasets with centimeter-accuracy ground truth , 2009, Auton. Robots.
[4] Ryan M. Eustice,et al. Ford Campus vision and lidar data set , 2011, Int. J. Robotics Res..
[5] Vincent Lepetit,et al. Compact signatures for high-speed interest point description and matching , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[6] Dorian Gálvez-López,et al. Real-time loop detection with bags of binary words , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[7] Jean-Arcady Meyer,et al. Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words , 2008, IEEE Transactions on Robotics.
[8] Ian D. Reid,et al. Article in Press Robotics and Autonomous Systems ( ) – Robotics and Autonomous Systems a Comparison of Loop Closing Techniques in Monocular Slam , 2022 .
[9] Vincent Lepetit,et al. BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.
[10] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[11] Sonia Martínez,et al. Monitoring Environmental Boundaries With a Robotic Sensor Network , 2006, IEEE Transactions on Control Systems Technology.
[12] Yan Ke,et al. PCA-SIFT: a more distinctive representation for local image descriptors , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[13] Horst Bischof,et al. Fast Approximated SIFT , 2006, ACCV.
[14] Winston Churchill,et al. The New College Vision and Laser Data Set , 2009, Int. J. Robotics Res..
[15] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[16] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[17] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[18] Randal W. Beard,et al. Decentralized Perimeter Surveillance Using a Team of UAVs , 2005, IEEE Transactions on Robotics.
[19] David G. Lowe,et al. Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration , 2009, VISAPP.
[20] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[21] David Nistér,et al. Scalable Recognition with a Vocabulary Tree , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[22] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[23] Dusan M. Stipanovic,et al. Effective Coverage Control for Mobile Sensor Networks With Guaranteed Collision Avoidance , 2007, IEEE Transactions on Control Systems Technology.
[24] Vincent Lepetit,et al. View-based Maps , 2010, Int. J. Robotics Res..
[25] Roland Siegwart,et al. BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.
[26] Wolfram Burgard,et al. Robust Monte Carlo localization for mobile robots , 2001, Artif. Intell..
[27] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[28] Paul Newman,et al. FAB-MAP 3D: Topological mapping with spatial and visual appearance , 2010, 2010 IEEE International Conference on Robotics and Automation.
[29] Paul Newman,et al. FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance , 2008, Int. J. Robotics Res..
[30] Tom Drummond,et al. Machine Learning for High-Speed Corner Detection , 2006, ECCV.
[31] Dorian Gálvez-López,et al. Robust Place Recognition With Stereo Sequences , 2012, IEEE Transactions on Robotics.
[32] Paul Newman,et al. Appearance-only SLAM at large scale with FAB-MAP 2.0 , 2011, Int. J. Robotics Res..