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research-article

A Survey of Multi-Ethnic Face Feature Recognition

Authors:

Nurbiya Yadikar,

Mutallip Mamut,

Kurban UbulAuthors Info & Claims

ICCPR '20: Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition

Pages 168 - 173

https://doi.org/10.1145/3436369.3437412

Published: 11 January 2021 Publication History

Abstract

At present, face recognition technology is widely used in various fields, which effectively promotes the process of information automation and data fusion. Face recognition technology is based on in-depth analysis of image processing technology and high-precision control of face dynamic changes. Identification function. To fully expand the application fields of face recognition technology, according to the humanistic depth and regional environmental characteristics in a certain period, this article will form a phased research report on the development of face recognition technology on this basis. The progress of face classification research in various countries. The report mainly analyzes the domestic situation. Summarized the current status of foreign research, analyzed the differences in facial features in some countries, and analyzed the current common facial feature extraction methods and the advantages and disadvantages of several research methods.

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Cited By

Nascimento LSouza GGarcia A(2023)Machine-based Stereotypes: How Machine Learning Algorithms Evaluate Ethnicity from Face DataProceedings of the XIX Brazilian Symposium on Information Systems10.1145/3592813.3592901(159-166)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1145/3592813.3592901
Dharma ATambunan NSinaga L(2022)Face Recognition with Edge Detection and LBP Feature Extraction2022 IEEE International Conference of Computer Science and Information Technology (ICOSNIKOM)10.1109/ICOSNIKOM56551.2022.10034925(1-7)Online publication date: 19-Oct-2022
https://doi.org/10.1109/ICOSNIKOM56551.2022.10034925
Shen MWei YLiao ZZhu L(2021)IriTrackProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34635155:2(1-21)Online publication date: 24-Jun-2021
https://dl.acm.org/doi/10.1145/3463515

Index Terms

A Survey of Multi-Ethnic Face Feature Recognition
1. General and reference
  1. Document types
    1. Surveys and overviews

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ICCPR '20: Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition

October 2020

552 pages

ISBN:9781450387835

DOI:10.1145/3436369

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Beijing University of Technology

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 January 2021

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ICCPR 2020

ICCPR 2020: 2020 9th International Conference on Computing and Pattern Recognition

October 30 - November 1, 2020

Xiamen, China

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Cited By

Nascimento LSouza GGarcia A(2023)Machine-based Stereotypes: How Machine Learning Algorithms Evaluate Ethnicity from Face DataProceedings of the XIX Brazilian Symposium on Information Systems10.1145/3592813.3592901(159-166)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1145/3592813.3592901
Dharma ATambunan NSinaga L(2022)Face Recognition with Edge Detection and LBP Feature Extraction2022 IEEE International Conference of Computer Science and Information Technology (ICOSNIKOM)10.1109/ICOSNIKOM56551.2022.10034925(1-7)Online publication date: 19-Oct-2022
https://doi.org/10.1109/ICOSNIKOM56551.2022.10034925
Shen MWei YLiao ZZhu L(2021)IriTrackProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34635155:2(1-21)Online publication date: 24-Jun-2021
https://dl.acm.org/doi/10.1145/3463515

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