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An efficient and robust rotation invariant descriptor

  • Beihang University
  • Tsinghua University

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

Abstract

A novel scheme to calculate feature descriptors with rotation invariance was proposed in this paper. Unlike traditional methods of computing feature orientations and descriptors using a single sampling pattern, we calculate the orientation of a feature point with one sampling pattern and generate its descriptor with another one. Based on this idea, we present a method to generate a rotation invariant descriptor using the sampling patterns of FREAK and BRIEF. The experimental results on image matching show that our method is not only invariant to image rotation but also robust to many other situations such as image blur, viewpoint change, illumination change and JEPG compression. At the same time, the proposed method performs competitively with BRISK and FREAK in computational time.

Original languageEnglish
Title of host publicationProceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015
EditorsLipo Wang, Sen Lin, Zhiyong Tao, Bing Zeng, Xiaowei Hui, Liangshan Shao, Jie Liang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages584-588
Number of pages5
ISBN (Electronic)9781467390989
DOIs
StatePublished - 16 Feb 2016
Event8th International Congress on Image and Signal Processing, CISP 2015 - Shenyang, China
Duration: 14 Oct 201516 Oct 2015

Publication series

NameProceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015

Conference

Conference8th International Congress on Image and Signal Processing, CISP 2015
Country/TerritoryChina
CityShenyang
Period14/10/1516/10/15

Keywords

  • feature descriptor
  • Image matching
  • rotation invariance
  • sampling pattern

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