A modified descriptor for blob detection in nonlinear scale space

Liangjin Zhao; Yan Ding; Hong Xu

doi:10.1117/12.2265512

23 January 2017 A modified descriptor for blob detection in nonlinear scale space

Liangjin Zhao, Yan Ding, Hong Xu

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103220Y (2017) https://doi.org/10.1117/12.2265512
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

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.

Citation Download Citation

Liangjin Zhao, Yan Ding, and Hong Xu "A modified descriptor for blob detection in nonlinear scale space ", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103220Y (23 January 2017); https://doi.org/10.1117/12.2265512

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