Adopting Feature-Based Visual Odometry for Resource-Constrained Mobile Devices
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[1] Sebastian Thrun,et al. Sub-meter indoor localization in unmodified environments with inexpensive sensors , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[2] Marek Kraft,et al. Comparative assessment of point feature detectors in the context of robot navigation , 2013 .
[3] Hongdong Li,et al. Five-Point Motion Estimation Made Easy , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[4] Michal R. Nowicki,et al. Performance comparison of point feature detectors and descriptors for visual navigation on Android platform , 2014, 2014 International Wireless Communications and Mobile Computing Conference (IWCMC).
[5] Davide Scaramuzza,et al. SVO: Fast semi-direct monocular visual odometry , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[6] Xin Yang,et al. LDB: An ultra-fast feature for scalable Augmented Reality on mobile devices , 2012, 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).
[7] Wolfram Burgard,et al. A benchmark for the evaluation of RGB-D SLAM systems , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[8] Tom Drummond,et al. Machine Learning for High-Speed Corner Detection , 2006, ECCV.
[9] Antti Oulasvirta,et al. Computer Vision – ECCV 2006 , 2006, Lecture Notes in Computer Science.
[10] Friedrich Fraundorfer,et al. Visual Odometry Part I: The First 30 Years and Fundamentals , 2022 .
[11] Vincent Lepetit,et al. BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.
[12] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[13] Simon Baker,et al. Lucas-Kanade 20 Years On: A Unifying Framework , 2004, International Journal of Computer Vision.
[14] David W. Murray,et al. Parallel Tracking and Mapping on a camera phone , 2009, 2009 8th IEEE International Symposium on Mixed and Augmented Reality.
[15] James R. Bergen,et al. Visual odometry , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[16] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[17] Lorenzo Porzi,et al. Visual-inertial tracking on Android for Augmented Reality applications , 2012, 2012 IEEE Workshop on Environmental Energy and Structural Monitoring Systems (EESMS).
[18] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[19] Thomas Deselaers,et al. ClassCut for Unsupervised Class Segmentation , 2010, ECCV.
[20] F. Fraundorfer,et al. Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications , 2012, IEEE Robotics & Automation Magazine.