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基于FAST角点检测的局部鲁棒特征

Keywords: 点特征,FAST角点,目标跟踪,特征匹配

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Abstract:

针对目前流行的SIFT、SURF等局部特征存在运算复杂、匹配及后续处理实时性差等问题,在FAST角点检测的基础上,提出了一种新的视觉跟踪特征算法.该算法能克服实际应用中噪声及室外光照变化的影响,并能快速匹配特征点实现实时处理.实验结果表明,该视觉跟踪特征算法具备运算量小、实时性高的特点,并且能保证匹配精度及鲁棒性优于原有的视觉跟踪特征.

References

[1]  Drummond T,Cipolla R. Real-time visual tracking of complex structures[J]. IEEE Trans on Pattern Analysis and Machine Intelligence,2002, 24(7): 932-946.
[2]  Rosten E, Drummond T. Fusing points and lines for high performance tracking[C]//Proceedings of 10th IEEE International Conference on Computer Vision. Beijing, China:[s.n.], 2005:1508-1515.
[3]  Basri R, Costa L, Geiger D, et al. Determining the similarity of deformable shapes[J]. Vision Research, 1998,38(15):2365-2385.
[4]  Bascle B, Deriche R. Region tracking through image sequences[C]//Proceedings of IEEE International Conference of Computer Vision. Cambridge, MA: IEEE Computer Society, 1995:302-307.
[5]  Lowe D. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004,60(2):91-110.
[6]  Bay H, Tuytelaars T, Van Gool L. SURF: speeded up robust features[C]//Proceedings of the European Conference on Computer Vision. Graz, Austrilia: Springer, 2006:404-417.
[7]  Rosten E, Drummond T. A machine learning approach to corner detection[J]. IEEE Transactions on Pattern Analysis and Machione Intelligence, 2010,32(1):105-119.
[8]  Taylor S, Rosten E, Drummond T. Robust feature matching in 2.3 μs[C]//Proceedings of IEEE CVPR Workshop on Feature Detectors and Descriptors: The State of The Art and Beyond. Miami, USA: IEEE Computer Society, 2009:15-22.
[9]  Klein G, Drummond T. Tightly integrated sensor fusion for robust visual tracking[J]. Image and Vision Computing, 2004,22(10):769-776.
[10]  Vacchetti L, Lepetit V, Fua P. Combining edge and texture information for real-time accurate 3D camera tracking[C]//Proceedings of the International Symposium on Mixed and Augmented Reality. Arlington, USA:[s.n.],2004: 48-57.
[11]  Nene S A, Nayar S K, Murase H. Columbia object image library(COIL-100)[R]. New York, USA: Columbia Univ, 1996.
[12]  Stein A, Hebert M.Occlusion boundaries from motion: low-level detection and mid-level reasoning[J]. International Journal on Computer Vision, 2009,82(2):325-357.

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