Deep learning-based image enhancement for robust remote photoplethysmography in various illumination scenarios-Reference-Cited by-同舟云学术

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Deep learning-based image enhancement for robust remote photoplethysmography in various illumination scenarios

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Chen Shutao¹,Ho Sui Kei²,Chin Jing Wei¹,Luo Kin Ho¹,Tai Chan Tsz²,So Richard H.Y.²,Long Wong Kwan²

Affiliation:

1. PanopticAI Ltd.

2. The Hong Kong University of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208697.pdf?arnumber=10208697

Reference28 articles.

1. Mediapipe: A framework for building perception pipelines;lugaresi;CoRR,2019

2. A survey of remote optical photoplethysmographic imaging methods. Nov. 2015;mcduff;2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),2015

3. Toward Fast, Flexible, and Robust Low-Light Image Enhancement

4. Benchmarking Low-Light Image Enhancement and Beyond

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