SWMF: Separable weighted median filter for efficient large-disparity stereo matching

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7 Scopus citations

Abstract

Although large disparity stereo matching is critical to the practical application of stereo vision system especially for outdoor scenes, its efficient hardware design is still a grand challenge. Motivated by the discovery that well-designed weighted median filter (WMF) can achieve satisfactory accuracy with simple box-filter aggregation, this paper proposes a separable weighted median filter (sWMF) that only has the computational complexity of O(r) and is independent of disparity range. Moreover, the proposed sWMF can be efficiently implemented as a fully pipelined architecture. Evaluation results demonstrate that, at the penalty of only 0.06% disparity error rate, the proposed sWMF design can save 12.9% Slice LUTs, 76.7% DSPs and 64.0% Block RAMs at the disparity range of 128, compared with previous WMF implementation on FPGA.

Original languageEnglish
Title of host publicationIEEE International Symposium on Circuits and Systems
Subtitle of host publicationFrom Dreams to Innovation, ISCAS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467368520
DOIs
StatePublished - 25 Sep 2017
Event50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States
Duration: 28 May 201731 May 2017

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
Country/TerritoryUnited States
CityBaltimore
Period28/05/1731/05/17

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