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Proceedings Paper

A modified descriptor for blob detection in nonlinear scale space
Author(s): Liangjin Zhao; Yan Ding; Hong Xu
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Paper Abstract

In this paper, we present a novel binary descriptor with orientation, which called Intensity-Centroid LDB (IC-LDB). This descriptor resolves the problems that the current non-binary descriptors are too compute-expensive to achieve real-time performance in the nonlinear scale space and that the original Local Difference Binary (LDB) descriptors do not have an orientation component to keep rotation invariant. Experimental results demonstrate that IC-LDB proposed in this paper was faster than previously non-binary descriptors which were used in nonlinear scale space, while performing as well in many situations.

Paper Details

Date Published: 23 January 2017
PDF: 6 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103220Y (23 January 2017); doi: 10.1117/12.2265512
Show Author Affiliations
Liangjin Zhao, Beijing Institute of Technology (China)
Yan Ding, Beijing Institute of Technology (China)
Hong Xu, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)

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