TY - GEN
T1 - QR-code reconstruction from event data via optimization in code subspace
AU - Nagata, Jun
AU - Sekikawa, Yusuke
AU - Hara, Kosuke
AU - Suzuki, Teppei
AU - Yoshimitsu, Aoki
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85085489418&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085489418&partnerID=8YFLogxK
U2 - 10.1109/WACV45572.2020.9093493
DO - 10.1109/WACV45572.2020.9093493
M3 - Conference contribution
AN - SCOPUS:85085489418
T3 - Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020
SP - 2113
EP - 2121
BT - Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020
Y2 - 1 March 2020 through 5 March 2020
ER -