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Live demo: E2P-events to polarization reconstruction from PDAVIS events

  • Tobi Delbruck
  • , Zuowen Wang
  • , Haiyang Mei
  • , Germain Haessig
  • , Damien Joubert
  • , Justin Haque
  • , Yingkai Chen
  • , Moritz B. Milde
  • , Viktor Gruev
  • University of Zurich
  • Austrian Institute of Technology
  • Univ. of Zurich and ETH Zurich
  • University of Illinois at Urbana-Champaign

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

This demonstration shows live operation of of PDAVIS polarization event camera reconstruction by the E2P DNN reported in the main CVPR conference paper Deep Polarization Reconstruction with PDAVIS Events (paper 9149 [7]). Demo code: github.com/SensorsINI/e2p
Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, Vancouver, Canada, 18 - 22 June 2023
Place of PublicationU.S.
PublisherIEEE
Pages3973-3975
Number of pages3
ISBN (Electronic)9798350302493
DOIs
Publication statusPublished - 2023
EventIEEE Conference on Computer Vision and Pattern Recognition - Vancouver, Canada
Duration: 18 Jun 2023 → 22 Jun 2023

Conference

ConferenceIEEE Conference on Computer Vision and Pattern Recognition
Country/TerritoryCanada
CityVancouver
Period18/06/23 → 22/06/23

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