Real-Time Camera Tracking Using a Global Localization Scheme
作者： Yue Yiming , Liang Xiaohui , Liu Chen , Liu Jie
DOI: 10.1007/978-3-642-22819-3_3
关键词: Simultaneous localization and mapping 、 Tracking system 、 Computer vision 、 Augmented reality 、 Artificial intelligence 、 Computer science 、 Camera auto-calibration 、 Robustness (computer science) 、 Structure from motion 、 Global localization 、 Rigid transformation
摘要: Real-time camera tracking in previously unknown scene is attractive to a wide spectrum of computer vision applications. In Recent years, Simultaneous Localization and Mapping (SLAM) system its varieties have shown extraordinary performance. However, the robustness these systems rapid erratic motion still limited because typically used Local scheme. To overcome this limitation, we present an efficient online algorithm using Global scheme which matches features global way through two steps: First, coarse are obtained nearest feature descriptor search. Afterwards, Game Theoretic approach exploited eliminate incorrect left correct can be estimate pose. Result shows our has significantly improved motion.
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sci-hub.st 参考文章(22)
Denis Chekhlov, Mark Pupilli, Walterio Mayol-Cuevas, Andrew Calway, Real-time and robust monocular SLAM using predictive multi-resolution descriptors international symposium on visual computing. pp. 276- 285 ,(2006) , 10.1007/11919629_29
Georg Klein, David Murray, Improving the Agility of Keyframe-Based SLAM Lecture Notes in Computer Science. ,vol. 5303, pp. 802- 815 ,(2008) , 10.1007/978-3-540-88688-4_59
Herbert Bay, Tinne Tuytelaars, Luc Van Gool, SURF: speeded up robust features european conference on computer vision. ,vol. 1, pp. 404- 417 ,(2006) , 10.1007/11744023_32
Michael Calonder, Vincent Lepetit, Pascal Fua, Keypoint Signatures for Fast Learning and Recognition Lecture Notes in Computer Science. ,vol. 5302, pp. 58- 71 ,(2008) , 10.1007/978-3-540-88682-2_6
M. Ozuysal, M. Calonder, V. Lepetit, P. Fua, Fast Keypoint Recognition Using Random Ferns IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 32, pp. 448- 461 ,(2010) , 10.1109/TPAMI.2009.23
Michael Calonder, Vincent Lepetit, Pascal Fua, Pareto-optimal dictionaries for signatures computer vision and pattern recognition. pp. 3011- 3018 ,(2010) , 10.1109/CVPR.2010.5540050
V. Lepetit, P. Fua, Keypoint recognition using randomized trees IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 28, pp. 1465- 1479 ,(2006) , 10.1109/TPAMI.2006.188
Richard Hartley, Andrew Zisserman, Multiple view geometry in computer vision ,(2000)
Marc Pollefeys, Luc Van Gool, Maarten Vergauwen, Frank Verbiest, Kurt Cornelis, Jan Tops, Reinhard Koch, Visual Modeling with a Hand-Held Camera International Journal of Computer Vision. ,vol. 59, pp. 207- 232 ,(2004) , 10.1023/B:VISI.0000025798.50602.3A
Martin A. Fischler, Robert C. Bolles, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography Communications of The ACM. ,vol. 24, pp. 381- 395 ,(1981) , 10.1145/358669.358692