Fast binary matching for edge histogram descriptor

Byoul Park, Chee Sun Won

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

2 Scopus citations

Abstract

Edge histogram descriptor (EHD) consists of histogram bins of local edges in an image. Instead of the conventional bin-to-bin matching for the similarity measure, this paper presents a binary string descriptor for the EHD to achieve a faster binary bit-to-bit matching.

Original languageEnglish
Title of host publicationISCE 2014 - 18th IEEE International Symposium on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479945924
DOIs
StatePublished - 2014
Event18th IEEE International Symposium on Consumer Electronics, ISCE 2014 - Jeju, Korea, Republic of
Duration: 22 Jun 201425 Jun 2014

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE

Conference

Conference18th IEEE International Symposium on Consumer Electronics, ISCE 2014
Country/TerritoryKorea, Republic of
CityJeju
Period22/06/1425/06/14

Keywords

  • edge histogram descriptor
  • feature matching
  • Hamming distance
  • MPEG-7

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