A Robust Homography Estimation Method Based on Keypoint Consensus and Appearance Similarity
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[1] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[2] Philip H. S. Torr,et al. Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting , 2002, International Journal of Computer Vision.
[3] Jan-Michael Frahm,et al. Exploiting uncertainty in random sample consensus , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[4] Vincent Lepetit,et al. Combining Geometric and Appearance Priors for Robust Homography Estimation , 2010, ECCV.
[5] Jan-Michael Frahm,et al. A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus , 2008, ECCV.
[6] Georgios D. Evangelidis,et al. Projective Image Alignment by Using ECC Maximization , 2008, VISAPP.
[7] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[8] Sunglok Choi,et al. Performance Evaluation of RANSAC Family , 2009, BMVC.
[9] Jiri Matas,et al. Matching with PROSAC - progressive sample consensus , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[10] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[11] Andrew Zisserman,et al. MLESAC: A New Robust Estimator with Application to Estimating Image Geometry , 2000, Comput. Vis. Image Underst..