[1] Wu C C. Towards linear-time incremental structure from motion. [C]∥2013 International Conference on 3D Vision, June 29-July 1, 2013, Seattle, WA, USA. New York: IEEE, 127-134(2013).
[4] Bay H, Ess A, Tuytelaars T et al. Speeded-up robust features (SURF)[J]. Computer Vision and Image Understanding, 110, 346-359(2008).
[5] Ke Y, Sukthankar R. PCA-SIFT: a more distinctive representation for local image descriptors. [C]∥2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 27-July 2, 2004, Washington, DC, USA. New York: IEEE, 8161522(2004).
[6] Leutenegger S, Chli M, Siegwart R Y. BRISK: binary robust invariant scalable keypoints. [C]∥2011 International Conference on Computer Vision, November 6-13, 2011, Barcelona, Spain. New York: IEEE, 2548-2555(2011).
[7] Rublee E, Rabaud V, Konolige K et al. ORB: an efficient alternative to SIFT or SURF. [C]∥2011 International Conference on Computer Vision, November 6-13, 2011, Barcelona, Spain. New York: IEEE, 2564-2571(2011).
[8] Rosten E, Drummond T. Machine learning for high-speed corner detection[M]. ∥Leonardis A, Bischof H, Pinz A. Lecture notes in computer science. Berlin, Heidelberg: Springer, 3951, 430-443(2006).
[9] Calonder M, Lepetit V, Strecha C et al. BRIEF: binary robust independent elementary features[M]. ∥Daniilidis K, Maragos P, Paragios N. Lecture notes in computer science. Berlin, Heidelberg: Springer, 6314, 778-792(2010).
[10] Alahi A, Ortiz R, Vandergheynst P. FREAK: fast retina keypoint. [C]∥2012 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), June 16-21, 2012, Providence, RI, USA. New York: IEEE, 510-517(2012).
[11] Xu P F, Jiang Z L, Zhao Y et al. Feature point extraction and matching algorithm of smooth surfaces without chromatic aberration[J]. Acta Optica Sinica, 38, 0451002(2018).
[15] Verdie Y, Yi K M, Fua P et al. TILDE: a temporally invariant learned detector. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 5279-5288(2015).
[16] Simo-Serra E, Trulls E, Ferraz L et al. Discriminative learning of deep convolutional feature point descriptors. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 118-126(2015).
[17] Yi K M, Verdie Y, Fua P et al. Learning to assign orientations to feature points. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 107-116(2016).
[18] Yi K M, Trulls E, Lepetit V et al. LIFT: learned invariant feature transform[M]. ∥Leibe B, Matas J, Sebe N,
[19] Schöps T, Schönberger J L, Galliani S et al. A multi-view stereo benchmark with high-resolution images and multi-camera videos. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2538-2547(2017).
[20] Mikolajczyk K, Schmid C. A performance evaluation of local descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 1615-1630(2005).