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

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

doi:10.1109/WACV45572.2020.9093493

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

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

Department of Electronics and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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 language	English
Title of host publication	Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2113-2121
Number of pages	9
ISBN (Electronic)	9781728165530
DOIs	https://doi.org/10.1109/WACV45572.2020.9093493
Publication status	Published - 2020 Mar
Event	2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020 - Snowmass Village, United States Duration: 2020 Mar 1 → 2020 Mar 5

Publication series

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

Conference

Conference	2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020
Country/Territory	United States
City	Snowmass Village
Period	20/3/1 → 20/3/5

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition

Access to Document

10.1109/WACV45572.2020.9093493

Cite this

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

QR-code reconstruction from event data via optimization in code subspace. / Nagata, Jun; Sekikawa, Yusuke; Hara, Kosuke et al.

Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 2113-2121 9093493 (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 9093493, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Institute of Electrical and Electronics Engineers Inc., pp. 2113-2121, 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, United States, 20/3/1. https://doi.org/10.1109/WACV45572.2020.9093493

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

Nagata, Jun ; Sekikawa, Yusuke ; Hara, Kosuke et al. / QR-code reconstruction from event data via optimization in code subspace. Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 2113-2121 (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).

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

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