[6] MIKOLAJCZYK K, SCHMID C. A Performance Evaluation of Local Descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 2: 257-263.
[7] YAN K, SUKTHANKAR R. PCA-SIFT: a more distinctive representation for local image descriptors[C]//Proceedings of the Computer Vision and Pattern Recognition, IEEE Computer Society Conference on. IEEE, 2004: 506-513.
[8] DUAN C, MENG X X, TU C H, et al. How to make local image features more efficient and distinctive[J]. IET Computcr. Vision, 2008, 2(3): 178-189.
[10] ETHAN R, VINCENT R, KURT K, et al. ORB: an efficient alternative to SIFT or SURF[C]//IEEE International Conference on Computer Vision, 2011: 1-8.
[11] LOWE D G. Object recognition from local scale-invariant features[C]//In Proceedings. of the International Conference on Computer Vision, 1999: 1150-1157.
[12] LOWE D G. Distinctive image features from scale-invariant key-points[J]. Internation Journal of Computer Vision, 2004, 60: 91-110.