| [1] |
蒋淑静， 黑保琴， 张九星 ，等. 基于PDE的自适应各向异性图像配准方法研究[J]. 通信学报， 2013，34(5): 192-199. JIANG S J ， HEI B Q ， ZHANG J X ，et al. Research on PDE-based adaptive anisotropic image registration[J]. Journal on Communications， 2013，34(5): 192-199.
|
| [2] |
LOWE D G . Distinctive image features from scale-invariant key points[J]. International Journal of Computer Vision， 2004，60(2): 91-110.
|
| [3] |
LOWE D G . Object recognition from local scale-invariant features[A]. Proceedings of IEEE International Conference on Computer Vision[C]. Kerkyra，Greece， 1999. 1150-1157.
|
| [4] |
杨化超， 姚国标， 王永波 . 基于 SIFT 的宽基线立体影像密集匹配[J]. 测绘学报， 2011，40(5): 537-543. YANG H C YAO G B ， WANG Y B . Dense matching for wide base-line stereo images based on SIFT[J]. Acta Geodaetica et Cartorgraphica Sinica， 2011，40(5): 537-543.
|
| [5] |
BAY H ， TUYTELAARS T ， VANGOOL L . SURF:speeded up robust features[A]. Proceedings of European Conference on Computer Vision[C]. Graz，Austria， 2006. 404-417.
|
| [6] |
BAY H E ， ESS A ， TUYTELAARS T ，et al. SURF:speeded up robust features[J].Computer Vision and Image Understanding，2008，110(3)，346-359.Computer Vision and Image Understanding， 2008，110(3): 346-359.
|
| [7] |
KE Y ， SUKTHANKAR R . PCA-SIFT:a more distinctive representation for local image descriptors[A]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition[C]. 2004. 506-513.
|
| [8] |
STRECHA C ， BRONSTEIN A M ， BRONSTEIN M M ，et al. LDAHash:improved matching with smaller descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence， 2012，34(1): 66-78.
|
| [9] |
ALCANTARILLA P F ， NUEVO J ， BARTOLI A . KAZE features[A]. Proceedings of European Conference on Computer Vision[C]. Springer Berlin Heidelberg， 2012. 214-227.
|
| [10] |
ALCANTARILLA P F ， NUEVO J ， BARTOLI A . Fast explicit diffusion for accelerated features in nonlinear scale spaces[A]. Proceedings of British Machine Vision Conference[C]. Bristol，UK， 2013. 1-11.
|
| [11] |
CALONDER M ， LEPETIT V ， STRECHA C ，et al. Brief:binary robust independent elementary features[A]. Proceedings of European Conference on Computer Vision[C]. Heraklion，Crete，Greece， 2010. 1-14.
|
| [12] |
RUBLEE E ， RABAUD V ， KONOLIGE K ，et al. ORB:an efficient alternative to SIFT or SURF[A]. Proceedings of International Conference on Computer Vision[C]. 2011. 2564-2571.
|
| [13] |
ROSTEN E ， DRUMMOND T . Fusing points and lines for high performance tracking[A]. Proceedings of International Conference on Computer Vision[C]. 2005. 1508-1511.
|
| [14] |
LEUTENEGGER S ， CHLI M ， SIEGWART R Y . BRISK:binary robust invariant scalable keypoints[A]. Proceedings of International Conference on Computer Vision[C]. 2011. 2548-2555.
|
| [15] |
MAIR E ， HAGER G D ， BURSCHKA D ，et al. Adaptive and generic corner detection based on the accelerated segment test[A]. Proceedings of European Conference on Computer Vision[C]. Springer Berlin Heidelberg， 2010. 183-196.
|
| [16] |
MOREL J M ， YU G S . ASIFT:a new framework for fully affine invariant image comparison[J]. SIAM Journal on Imaging Sciences， 2009，2(2): 438-469.
|
| [17] |
CAI G ， JODOIN P M ， LI S ，et al. Perspective-SIFT:an efficient tool for low-altitude remote sensing image registration[J]. Signal Processing， 2013，93(11).
|
| [18] |
蔡国榕， 李绍滋， 吴云东， 等 . 一种透视不变的图像匹配算法[J]. 自动化学报， 2013，39(7): 1053-1061. CAI G R ， LI S Z WU Y D et al . A perspective invariant imagematching algorithm[J]. Acta Automatica Sinica， 2013，39(7): 1053-1061.
|
| [19] |
SMITH S M ， BRADY J M . SUSAN—a new approach to low level image processing[J]. International Journal of Computer Vision， 1997，23(1): 45-78.
|
| [20] |
HARRIS C ， STEPHENS M . A combined corner and edge detector[A]. Proceedings of Alvey Vision Conference[C]. 1988.50.
|
| [21] |
HASHIMOTO T ， TAKAGI M K，KAJIWARE ， et al . Remote Sensing Note[M]. Japan Association on Remote Sensing， 1999.
|
| [22] |
ROSIN P L . Measuring corner properties[J]. Computer Vision and Image Understanding， 1999，73(2): 291-307.
|
| [23] |
MIKOLAJCZYK K ， SCHMID C . Scale and affine invariant Interest point detectors[J]. International Journal of Computer Vision， 2004，60(1): 63-86.
|
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