[1] [1] Matas J，Chum O，Urban M，et al. Robust wide-baseline stereo from maximally stable extremal regions [J]. Image and Vision Computing(S2628-8856)，2004，22(10): 761-767.

[2] [2] Mikolajczyk K，Schmid C. Scale & affine invariant interest point detectors [J]. International Journal of Computer Vision (S0920-5691)，2004，60(1): 63-86.

[3] [3] Lakemond Ruan，Sridharan Sridha，Fookes Clinton. Hessian-Based affine adaptation of salient local image features [J]. Journal of Mathematical Imaging and Vision(S0924-9907)，2012，44(2): 150-167.

[4] [4] Kadir T，Zisserman A，Brady M. An affine invariant salient region detector [C]// The 8th European Conference on Computer Vision，Prague，Czech，May 11-14，2004，3021: 228-241.

[5] [5] Tuytelaars T，Van Gool L. Matching widely separated views based on affine invariant regions [J]. International Journal of Computer Vision(S0920-5691)，2004，59(1): 61-85.

[6] [6] Lindeberg T. Feature detection with automatic scale selection [J]. International Journal of Computer Vision(S0920-5691)， 1998，30(2): 79-116.

[7] [7] Lindeberg T，G.rding J. Shape-adapted smoothing in estimation of 3-D shape cues from affine deformations of local 2-D brightness structure [J]. Image and Vision Computing(S2628-8856)，1997，15(6): 415-434.

[8] [8] Lowe D G. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision (S0920-5691)，2004，60(2): 91-110.

[10] [10] Hel-Or Y，Teo P C. A common framework for steerability，motion estimation，and invariant feature detection [C]// IEEE International Symposium on Circuits and Systems，Monterey，USA，May 31-June 3，1998，5: 337-340.

[11] [11] Haja Andreas，Jahne Bernd，Abraham Steffen. Localization accuracy of region detectors [C]// IEEE Conference on Computer Vision and Pattern Recognition，Anchorage，USA，June 24-26，2008: 1-8.

[12] [12] Mikolajczyk K，Tuytelaars T，Schmid C，et al. A comparison of affine region detectors [J]. International Journal of Computer Vision (S0920-5691)，2005，65(1): 43-72.

[13] [13] G.rding J，Lindeberg T. Direct computation of shape cues using scale-adapted spatial derivative operators [J]. International Journal of Computer Vision(S0920-5691)，1996，17(2): 163-191.

[14] [14] Morel J M，YU Guo-shen. Is SIFT scale invariant [J]. Inverse Problems and Imaging(S1930-8337)，2011，5(1): 115-136.

[15] [15] Fischler M A，Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography [J]. Communications of the ACM (S0001-0782)，1981，24(6): 381-395.

[16] [16] YU Guo-shen，Morel J M. ASIFT: A new framework for fully affine invariant image comparison [J]. SIAM Journal on Imaging Sciences(S1936-4954)，2009，2(2): 438-469.

[17] [17] Kimmel Ron，ZHANG Cui-ping，Bronstein Alex，et al. Are MSER features really interesting [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828)，2011，33(11): 2316-2320.

[18] [18] Hsiao E，Collet A，Hebert M. Making specific features less discriminative to improve point-based 3D object recognition [C]// The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition，San Francisco，USA，June 13-18， 2010: 2653-2660.