Deep periocular representation aiming video surveillance-Reference-Cited by-同舟云学术

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Deep periocular representation aiming video surveillance

Published:2018-10 Issue: Volume:114 Page:2-12
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Luz Eduardo,Moreira Gladston,Zanlorensi Junior Luiz Antonio,Menotti David^ORCID

Funder

UFPR

CNPq

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference64 articles.

1. Biometric recognition in surveillance scenarios: a survey;Neves;Artif. Intell. Rev.,2016

2. Facenet: a unified embedding for face recognition and clustering;Schroff,2015

3. Is that you? metric learning approaches for face identification;Guillaumin,2009

4. Names and faces in the news;Berg,2004

5. Deep face recognition;Parkhi,2015

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1. A face recognition taxonomy and review framework towards dimensionality, modality and feature quality;Engineering Applications of Artificial Intelligence;2023-11

2. Periocular biometrics and its relevance to partially masked faces: A survey;Computer Vision and Image Understanding;2023-01

3. One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations;IEEE Access;2023

4. Image-based Automatic Dial Meter Reading in Unconstrained Scenarios;Measurement;2022-11

5. A new periocular dataset collected by mobile devices in unconstrained scenarios;Scientific Reports;2022-10-26

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