Lowe G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60: 91-110.
[2]
Bay H, Tuytelaars T, Van G. SURF: speeded up robust features.[C]//Proceedings of the 9th European Conference on Compu-ter Vision Graz. Berlin: Springert, 2006, 3951:404-417.
[3]
Ke Y, Sukthankar R. PCA-SIFT: a more distinctive representation for local image descriptors[C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington DC: IEEE, 2004, 2: 506-513.
[4]
Indyk P, Motwani R. Approximate nearest neighbors: towards removing the curse of dimensionality[C]//The 30th Annual ACM Symposium on Theory of Computing. Dallas, USA: ACM, 1998: 604-613.
[5]
Weiss Y, Torralba A B, Fergus R. Spectral hashing[J]. Neural Information Processing Systems, 2008: 1753-1760
[6]
Kulis B, Grauman K. Kernelized locality-sensitive hashing for scalable image search[C]//Proceedings of the 12th IEEE International Conference on Computer Vision. Kyoto, Japan: IEEE, 2009: 2130-2137.
[7]
Raginsky M, Lazebnik, S. Locality-sensitive binary codes from shift-invariant kernels[J]. The Neural Information Processing Systems, 2009, 23:1509-1517.
[8]
Wang J, Kumar S, Chang S F. Semi-supervised hashing for large-scale search[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34:2393-2406.
[9]
Strecha C, Bronstein A, Bronstein M, Fua P. LDAHash: improved matching with smaller descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34:66-78.
[10]
Zhou W, Lu Y, Li H, et al. Scalar quantization for large scale image search[C]//Proceedings of the 20th ACM International Conference on Multimedia. Nara, Japan: ACM, 2012: 169-178.
[11]
Gupta R, Mittal A, Forsyth D, et al. SMD: a locally stable monotonic change invariant feature descriptor[C]//Proceedings of the 10th European Conference on Computer Vision. Berlin: Springer, 2008, 5303: 265-277.
[12]
Calonder M, Lepetit V, Ozuysal M, et al. BRIEF: computing a local binary descriptor very fast[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34: 1281-1298.
[13]
Rosten E, Drummond T. Fusing points and lines for high performance tracking[C]//Proceedings of the 10th IEEE International Conference on Computer Vision. Beijing, China: IEEE, 2005, 2: 1508-1515.
[14]
Leutenegger S, Chli M, Siegwart R. BRISK: binary robust invariant scalable keypoints[C]//Proceedings of the 13rd IEEE International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011: 2548-2555.
[15]
Alahi A, Ortiz R, Vandergheynst P. FREAK: fast retina keypoint[C]//Proceedings of the 25th IEEE Conference on Computer Vision and Pattern Recognition. Rhode Island, Providence, USA: IEEE, 2012: 16-21.
[16]
Rublee E, Rabaud V, Konolige K, et al. ORB: an efficient alternative to SIFT or SURF[C]//Proceedings of the 13th IEEE International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011: 2564-2571.
[17]
Mikolajczyk K, Schmid C. A performance evaluation of local descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, (27): 1615-1630.
[18]
Harris C, Stephens M. A combined corner and edge detector[C]//Proceedings of Alvey Vision Conference. Manchester, Britain: BMVA, 1988: 147-151.
