Citation: | Fan Zhiqiang. Panoramas subspace based scale invariant feature tracking method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(9): 1181-1185. (in Chinese) |
[1] Lowe D G.Distinctive image features from scale invariant keypoints[J].International Journal of Computer Vision,2004,60(2):91-110 [2] Mikolajczyk K,Schmid C.Scale & affine invariant interest point detectors[J].Computer Vision,2004,60(1):63-86 [3] Mikolajczyk K,Schmid C.A performance evaluation of local descriptors[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2005,27(10):1615-1630 [4] Beis J,Lowe D G.Shape indexing using approximate nearest neighbour search in high-dimensional spaces //Proceedings of Conference on Computer Vision and Pattern Recognition.Washington DC:IEEE Computer Society,1997:1000-1006 [5] Skrypnyk I,Lowe D G.Scene modelling,recognition and tracking with invariant image features //Proceedings of the 3th IEEE/ACM International Symposium on Mixed and Augmented Reality.Washington DC:IEEE Computer Society,2004:110-119 [6] Dong Zilong,Zhang Guofeng,Jia Jiaya,et al.Keyframe-based real-time camera tracking. //Proceedings of the 12th IEEE International Conference on Computer Vision.Kyoto:IEEE Computer Society,2009:1538-1545 [7] Brown M,Lowe D G.Recognising panoramas //Proceedings of the 9th International Conference on Computer Vision.Nice,France:IEEE Computer Society,2003:1218-1225 [8] 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,1981,24(6):381-395 [9] Hartley R,Zisserman A.Multiple view geometry in computer vision[M].2nd Edition.Cambridge:Cambridge University Press,2004
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