适用于光场相机的最优人脸自动搜索算法  

Optimal Face Auto-search Algorithm for Light Field Cameras

作　　者：赵宝奇 朱敏 ZHAO Baoqi;ZHU Min(School of Artificial Intelligence,Ningbo Polytechni,Ningbo,China,315800;School of Electronics and Information Engineering,Nantong Vocational University,Nantong,China,226000)

机构地区：[1]宁波职业技术学院人工智能学院,浙江宁波315800 [2]南通职业大学电子信息工程学院,江苏南通226000

出　　处：《福建电脑》2024年第3期8-12,共5页Journal of Fujian Computer

基　　金：2021年度浙江省教育厅科研项目(No.Y202147436);2023年宁波职业技术学院校级课题项目(No.NZ23Z01)资助。

摘　　要：为了提高基于光场相机的人脸识别性能,设计一个高效且无需人工干预的自动化算法是十分重要的。本文提出了一种基于焦点度量函数和投票方法的优化人脸搜索算法,并应用于光场相机进行人脸识别。测试的结果表明,本文算法与光场相机相结合,可以取得比传统相机更好的效果,并且整个系统不需要额外的人工操作。It is crucial to design an efficient and automated algorithm that does not require manual intervention in order to improve the performance of face recognition based on light field cameras.This article proposes an optimized face search algorithm based on focus measurement function and voting method,and applies it to face recognition using light field cameras.The test results indicate that the algorithm proposed in this paper,combined with a light field camera,can achieve better results than traditional cameras,and the entire system does not require additional manual operation.

关 键 词：人脸识别 搜索算法 光场相机 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]