Wide-Baseline Image Matching with Projective View Synthesis and Calibrated Geometric Verification
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Arandjelović R, Zisserman A (2012) Three things everyone should know to improve object retrieval. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR), pp 2911–2918. doi: 10.1109/CVPR.2012.6248018
Bay H, Ess A, Tuytelaars T, van Gool L (2008) Speeded-up robust features (SURF). Comp Vis Image Underst 110(3):346–359. doi: 10.1016/j.cviu.2007.09.014
Cai GR, Jodoin PM, Li SZ, Wu YD, Su SZ, Huang ZK (2013) Perspective-SIFT: an efficient tool for low-altitude remote sensing image registration. Signal Process 93(11):3088–3110. doi: 10.1016/j.sigpro.2013.04.008
Calonder M, Lepetit V, Strecha C, Fua P (2010) BRIEF: binary robust independent elementary features. In: Daniilidis K, Maragos P, Paragios N (eds) Computer Vision—ECCV 2010, Lecture Notes in Computer Science, vol 6314. Springer, pp 778–792. doi: 10.1007/978-3-642-15561-1_56
Chum O, Matas J (2005) Matching with PROSAC—progressive sample consensus. In: 2005 IEEE conference on computer vision and pattern recognition (CVPR), vol 1, pp 220–226. doi: 10.1109/CVPR.2005.221
Chum O, Matas J, Kittler J (2003) Locally optimized RANSAC. In: Goos G, Hartmanis J, van Leeuwen J, Michaelis B, Krell G (eds) Pattern Recognition, Lecture Notes in Computer Science, vol 2781. Springer, Berlin, pp 236–243. doi: 10.1007/978-3-540-45243-0_31
Fischler MA, Bolles RC (1981) Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM 24(6):381–395. doi: 10.1145/358669.358692
Hartley R (1997) In defense of the eight-point algorithm. IEEE Trans Pattern Anal Mach Intell 19(6):580–593. doi: 10.1109/34.601246
Hartmann W, Havlena M, Schindler K (2016) Recent developments in large-scale tie-point matching. ISPRS J Photogramm Remote Sens 115:47–62. doi: 10.1016/j.isprsjprs.2015.09.005
Heckbert P (1986) Survey of texture mapping. IEEE Comput Graph Appl 6(11):56–67. doi: 10.1109/MCG.1986.276672
Lebeda K, Matas J, Chum O (2012) Fixing the locally optimized RANSAC. In: Bowden R, Collomosse J, Mikolajczyk K (eds) British machine vision conference 2012, pp 95.1–95.11. doi: 10.5244/C.26.95
Lenc K, Matas J, Mishkin D (2014) A few things one should know about feature extraction, description and matching. In: Kúkelová Z, Heller J (eds) CVWW 2014. Czech Society for Cybernetics and Informatics, Czech Pattern Recognition Society Group, Prague, pp 67–74
Liu W, Wang Y, Chen J, Guo J, Lu Y (2012) A completely affine invariant image-matching method based on perspective projection. Mach Vis Appl 23(2):231–242. doi: 10.1007/s00138-011-0347-7
Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91–110. doi: 10.1023/B:VISI.0000029664.99615.94
Matas J, Chum O, Urban M, Pajdla T (2002) Robust wide baseline stereo from maximally stable extremal regions. In: Marshall D, Rosin PL (eds) British machine vision conference 2002, pp 36.1–36.10. doi: 10.5244/C.16.36
Mayer H, Bartelsen J, Hirschmüller H, Kuhn A (2012) Dense 3D reconstruction from wide baseline image sets. In: Dellaert F, Frahm JM, Pollefeys M, Leal-Taixé L, Rosenhahn B (eds) Outdoor and large-scale real-world scene analysis, Lecture Notes in Computer Science, vol 7474. Springer, Berlin, pp 285–304. doi: 10.1007/978-3-642-34091-8_13
Mikolajczyk K, Schmid C (2002) An affine invariant interest point detector. In: Heyden A, Sparr G, Nielsen M, Johansen P (eds) Computer Vision—ECCV 2002, Lecture Notes in Computer Science, vol 2350. Springer, Berlin, pp 128–142. doi: 10.1007/3-540-47969-4_9
Mikolajczyk K, Tuytelaars T, Schmid C, Zisserman A, Matas J, Schaffalitzky F, Kadir T, van Gool L (2005) A comparison of affine region detectors. Int J Comput Vis 65(1–2):43–72. doi: 10.1007/s11263-005-3848-x
Mishkin D, Matas J, Perdoch M (2015) MODS: fast and robust method for two-view matching. Comput Vis Image Underst 141:81–93. doi: 10.1016/j.cviu.2015.08.005
Moisan L, Stival B (2004) A probabilistic criterion to detect rigid point matches between two images and estimate the fundamental matrix. Int J Comput Vis 57(3):201–218. doi: 10.1023/B:VISI.0000013094.38752.54
Moreels P, Perona P (2007) Evaluation of features detectors and descriptors based on 3D objects. Int J Comput Vis 73(3):263–284. doi: 10.1007/s11263-006-9967-1
Morel JM, Yu G (2009) ASIFT: a new framework for fully affine invariant image comparison. SIAM J Imaging Sci 2(2):438–469. doi: 10.1137/080732730
Nistér D (2004) An efficient solution to the five-point relative pose problem. IEEE Trans Pattern Anal Mach Intell 26(6):756–770. doi: 10.1109/TPAMI.2004.17
Rosten E, Drummond T (2006) Machine learning for high-speed corner detection. In: Leonardis A, Bischof H, Pinz A (eds) Computer Vision—ECCV 2006, Lecture Notes in Computer Science, vol 3951. Springer, Berlin, pp 430–443. doi: 10.1007/11744023_34
Szeliski R (2011) Computer vision: algorithms and applications. Springer, London. doi: 10.1007/978-1-84882-935-0