Multiple object identification using grid voting of object center estimated from keypoint matches
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[1] Jiri Matas,et al. Matching with PROSAC - progressive sample consensus , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[2] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[3] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[4] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[5] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[6] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[7] Manuela M. Veloso,et al. Detection and Localization of Multiple Objects , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.
[8] Rita Cucchiara,et al. Real-time object detection and localization with SIFT-based clustering , 2012, Image Vis. Comput..
[9] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[10] Kota Iwamoto,et al. BRIGHT: A scalable and compact binary descriptor for low-latency and high accuracy object identification , 2013, 2013 IEEE International Conference on Image Processing.
[11] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..