Technical Progress of Face Recognition Technology in Occluded and Unobstructed Environment

Yanqi Peng

2025

Abstract

With the development of society, face recognition technology has become increasingly widespread across various fields, and the accuracy of unobstructed face recognition has steadily improved. However, as real-world face detection scenarios become more complex and variable, the challenge of occluded face recognition has emerged as a significant research focus in recent years. This article analyzes and compares the two distinct approaches to face recognition: unobstructed face recognition and occluded face recognition, discussing their respective challenges and advancements. It also provides an overview of commonly used face recognition datasets. Finally, the paper looks ahead to the future development and potential breakthroughs in both types of face recognition technologies. By synthesizing and integrating research on these two approaches, this paper helps researchers understand the current state of face recognition technology, highlights existing gaps in current research, encourages innovation and further exploration, and lays the groundwork for the introduction of new methodologies in future face recognition studies.

Paper Citation

in Harvard Style

Peng Y. (2025). Technical Progress of Face Recognition Technology in Occluded and Unobstructed Environment. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 21-25. DOI: 10.5220/0013677400004670

in Bibtex Style

@conference{icdse25,
author={Yanqi Peng},
title={Technical Progress of Face Recognition Technology in Occluded and Unobstructed Environment},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={21-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013677400004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Technical Progress of Face Recognition Technology in Occluded and Unobstructed Environment
SN - 978-989-758-765-8
AU - Peng Y.
PY - 2025
SP - 21
EP - 25
DO - 10.5220/0013677400004670
PB - SciTePress