.png){kind=icon}
返回
A robust and efficient convolutional deep learning framework for age-invariant face recognition
.png){kind=icon}
PRE
AI
DOI：10.1111/exsy.12503.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Extensive research has been carried out in the past on face recognition, face detection, and age estimation. However, age-invariant face recognition (AIFR) has not been explored that thoroughly. The facial appearance of a person changes considerably over time that results in introducing significant intraclass variations, which makes AIFR a very challenging task. Most of the face recognition studies that have addressed the ageing problem in the past have employed complex models and handcrafted features with strong parametric assumptions. In this work, we propose a novel deep learning framework that extracts age-invariant and generalized features from facial images of the subjects. The proposed model trained on facial images from a minor part (20-30%) of lifespan of subjects correctly identifies them throughout their lifespan. A variety of pretrained 2D convolutional neural networks are compared in terms of accuracy, time, and computational complexity to select the most suitable network for AIFR. Extensive experimental results are carried out on the popular and challenging face and gesture recognition network ageing dataset. The proposed method achieves promising results and outperforms the state-of-the-art AIFR models by achieving an accuracy of 99%, which proves the effectiveness of deep learning in facial ageing research.
Keyword:
age-invariant features
face recognition
deep learning
facial ageing
data augmentation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.3
论文数:
2.6K
被引数:
3.8K
机构
引用论文
Research on AC Arc Fault Detection Method Based on Wigner-Hough Transform and NG-Boost基于Wigner-Hough变换和NG-Boost的交流电弧故障检测方法研究
PREAI
分享收藏Elevational Gradients in β-Diversity Reflect Variation in the Strength of Local Community Assembly Mechanisms across Spatial Scales.png)
PLOS ONE
OAAI
PLOS ONEIF0
OAAI分享收藏Age invariant face recognition and retrieval by coupled auto-encoder networksNEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏
查看更多内容