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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 (US)
Title of host publicationProceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023
PublisherIEEE Computer Society
Pages3973-3975
Number of pages3
ISBN (Electronic)9798350302493
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 - Vancouver, Canada
Duration: Jun 18 2023Jun 22 2023

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume2023-June
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

Conference2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023
Country/TerritoryCanada
CityVancouver
Period6/18/236/22/23

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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