A modified census transform using the representative intensity values

Hyun Woo Jo, Byungin Moon

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

5 Scopus citations

Abstract

In the census transform, hamming weight calculation is an important process because the hamming weight is the criterion for finding the similarity between stereo images. If the intensity value of a center pixel is changed by different illumination of two cameras, erroneous hamming weight calculation can happen. To compensate for such vulnerability to different illumination, this paper suggests a modified census transform method using representative values. In the proposed method, the intensity value of the center pixel in the window is replaced by the representative values, which are the midpoint and mean intensity values in the window. Experimental results show that the census transform with the proposed hamming weight calculation is less dependent on the different illumination of two cameras and has higher matching accuracy compared with the previous recent work on the census transform.

Original languageEnglish
Title of host publicationISOCC 2015 - International SoC Design Conference
Subtitle of host publicationSoC for Internet of Everything (IoE)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages309-310
Number of pages2
ISBN (Electronic)9781467393089
DOIs
StatePublished - 8 Feb 2016
Event12th International SoC Design Conference, ISOCC 2015 - Gyeongju, Korea, Republic of
Duration: 2 Nov 20155 Nov 2015

Publication series

NameISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE)

Conference

Conference12th International SoC Design Conference, ISOCC 2015
Country/TerritoryKorea, Republic of
CityGyeongju
Period2/11/155/11/15

Keywords

  • Census transform
  • Different illumination
  • Hamming weight
  • Representative values
  • Stereo matching

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