Unconstrained face recognition: Establishing baseline human performance via crowdsourcing-Reference-Cited by-同舟云学术

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Unconstrained face recognition: Establishing baseline human performance via crowdsourcing

Published:2014-09 Issue: Volume: Page:
ISSN:
Container-title:IEEE International Joint Conference on Biometrics
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Author:

Best-Rowden Lacey,Bisht Shiwani,Klontz Joshua C.,Jain Anil K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6982598/6996217/06996296.pdf?arnumber=6996296

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Strengthening human‐centered face recognition in law enforcement: Combining the Zurich face cognition test with the holistic cognitive interview;Applied Cognitive Psychology;2024-07

2. Optimal KAZE and AKAZE Features for Facial Similarity Matching;Communications in Computer and Information Science;2023

3. Photo Sleuth;ACM Transactions on Interactive Intelligent Systems;2020-12-03

4. A weighted exponential discriminant analysis through side-information for face and kinship verification using statistical binarized image features;International Journal of Machine Learning and Cybernetics;2020-07-11

5. Privacy-Aware Face Recognition with Lensless Multi-pinhole Camera;Computer Vision – ECCV 2020 Workshops;2020

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