Absence importance and its application to feature detection and matching-Reference-Cited by-同舟云学术

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Absence importance and its application to feature detection and matching

Published:2016-07-25 Issue:5 Volume:13 Page:480-490
ISSN:1476-8186
Container-title:International Journal of Automation and Computing
language:en
Short-container-title:Int. J. Autom. Comput.

Author:

Wang Zhi-Heng,Song Qin-Feng,Liu Hong-Min,Huo Zhan-Qiang

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11633-015-0925-7.pdf

Reference35 articles.

1. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, vol. 60, no. 2, pp. 91–110, 2004.

2. J. S. Feng, B. B. Ni, D. Xu, S. C. Yan. Histogram contextualization. IEEE Transactions on Image Processing, vol. 21, no. 2, pp. 778–788, 2012.

3. J. Matas, O. Chum, M. Urban, T. Pajdla. Robust widebaseline stereo from maximally stable extremal regions. Image and Vision Computing, vol. 22, no. 10, pp. 761–767, 2004.

4. L. Di Stefano, S. Mattoccia, F. Tombari. ZNCC-based template matching using bounded partial correlation. Pattern Recognition Letters, vol. 26, no. 14, pp. 2129–2134, 2005.

5. C. Schmid, A. Zisserman. Automatic line matching across views. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, San Juan, Argentina, pp. 666–671, 1997.

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