QR-code reconstruction from event data via optimization in code subspace

Jun Nagata, Yusuke Sekikawa, Kosuke Hara, Teppei Suzuki, Aoki Yoshimitsu

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

Abstract

We propose an image reconstruction method from event data, assuming the target images belong to a prespecified class like QR codes. Instead of solving the reconstruction problem in the image space, we introduce a code space that covers all the noiseless target class images and solves the reconstruction problem on it. This restriction enormously reduces the number of optimizing parameters and makes the reconstruction problem well posed and robust to noise. We demonstrate fast and robust QR-code scanning in difficult, high-speed scenes with industrial high-speed cameras and other reconstruction methods.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2113-2121
Number of pages9
ISBN (Electronic)9781728165530
DOIs
Publication statusPublished - 2020 Mar
Event2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020 - Snowmass Village, United States
Duration: 2020 Mar 12020 Mar 5

Publication series

NameProceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020

Conference

Conference2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020
CountryUnited States
CitySnowmass Village
Period20/3/120/3/5

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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    Nagata, J., Sekikawa, Y., Hara, K., Suzuki, T., & Yoshimitsu, A. (2020). QR-code reconstruction from event data via optimization in code subspace. In Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020 (pp. 2113-2121). [9093493] (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WACV45572.2020.9093493