A Review of Cross-Age Facial Recognition Based on Discriminative Models

被引：0

作者：

Duan, Wentao ^{[1
]}

Zhi, Min ^{[1
]}

Ping, Ping ^{[1
]}

Ge, Xiangwei ^{[1
]}

Zhang, Yuening ^{[1
]}

Qi, Xuanhao ^{[1
]}

Hu, Wei ^{[1
]}

Lian, Zhe ^{[1
]}

机构：

[1] Inner Mongolia Normal Univ, Coll Comp Sci & Technol, Hohhot 010022, Peoples R China

来源：

ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT V, ICIC 2024 | 2024年 / 14866卷

关键词：

Face recognition; Cross-age face recognition; Discriminant method; Deep learning; INVARIANT FACE RECOGNITION; VERIFICATION; FEATURES; SCALE; SHAPE;

D O I：

10.1007/978-981-97-5594-3_22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Biometric recognition leveraging facial features faces challenges due to aging-related changes in contours and textures, highlighting the importance of cross-age facial recognition. This review assesses discriminative methods within this domain, including both traditional and deep learning-based techniques, summarizing their strengths and limitations. It also details representative datasets and evaluation metrics used in the field, providing a comparative analysis of existing methods' performance. Finally, the paper discusses future developments in cross-age facial recognition, outlining current research trends and potential investigative directions.

引用

页码：262 / 273

页数：12

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