A modified descriptor for blob detection in nonlinear scale space

Liangjin Zhao, Yan Ding, Hong Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationSeventh International Conference on Electronics and Information Engineering
EditorsXiyuan Chen
PublisherSPIE
ISBN (Electronic)9781510610804
DOIs
Publication statusPublished - 2017
Event7th International Conference on Electronics and Information Engineering, ICEIE 2016 - Nanjing, China
Duration: 17 Sept 201618 Sept 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10322
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference7th International Conference on Electronics and Information Engineering, ICEIE 2016
Country/TerritoryChina
CityNanjing
Period17/09/1618/09/16

Keywords

  • Binary descriptor
  • Blob detection
  • Feature detection
  • Nonlinear scale space
  • Orientation descriptor

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