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跨年龄人脸识别技术可以应用在刑事侦查、社会安全、人口管理等诸多领域，具有广泛的应用前景。对跨年龄人脸识别技术进行研究，主要难点是年龄增长带来的面部变化。为应对这一难点，设计了基于多任务学习的跨年龄人脸识别系统，该系统具有去除年龄因素影响、面对跨年龄人脸具有更强鲁棒性等优点，并通过实验证明了该系统可以提高在跨年龄人脸识别数据库Morph Album 2的识别准确率。
Abstract：Cross-age facial recognition technology can be applied in many fields such as criminal investigation, social security, and population management, and has broad application prospects. The main challenge in researching cross-age facial recognition technology is the facial changes brought about by aging. To address this challenge, a cross-age facial recognition system based on multi-task learning was designed, which has the advantages of removing the influence of age factors and having stronger robustness against cross-age faces. Experimental results have shown that the system can improve the recognition accuracy in the cross-age facial recognition database Morph Album 2.
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基本信息:
中图分类号:TP391.41
引用信息:
[1]郑天悦,方水平,赵元苏.基于多任务学习的跨年龄人脸识别系统的设计与实现[J].北京工业职业技术学院学报,2024,23(02):24-28.
基金信息:
2021年北京工业职业技术学院科研课题(BGY2021KY-13)
2024-04-15
2024-04-15