基于HIPI的公共图像人脸提取与识别

2018 14th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2018-11-01 DOI:10.1109/ICECCO.2018.8634718

A. Bogdanchikov, D. Kariboz, Meraryslan Meraliyev

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引用次数: 5

摘要

如今，具有公共数据的社交网络服务被广泛使用。全世界每天有数十亿张图片上传到互联网上。本文提出了一个目前正在开发的系统的想法。该系统按照一定的标准从公共资源中采集图像，对采集到的图像应用人脸检测和识别算法，并以可读的形式提供结果。使用Apache Hadoop库提升系统性能，通过HIPI库下载镜像。为了测试的目的，在野外基准测试中使用标有标签的面孔作为包含超过13233个5749个身份的图像的数据库。每张图片都是250*250分辨率的jpg格式。在使用该数据库对系统进行人脸检测和识别测试后，结果非常好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Face Extraction and Recognition from Public Images Using HIPI

Social networking services with public data are widely used nowadays. Billions of images uploaded to the internet each day over the world. This paper proposes the idea of a system which is currently being developed. The system collects images from public sources by some specific criteria, applies face detection and recognition algorithms on collected images, and provides the results in readable form. The Apache Hadoop library is used to increase performance of the system, and images are downloaded by the help of HIPI library. For testing purposes Labeled Faces in the Wild benchmark is used as a database for images containing over 13233 images of 5749 identities. Each image is jpg format in 250*250 resolutions. Results were more than good after testing the system with this database for face detection and recognition.

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2018 14th International Conference on Electronics Computer and Computation (ICECCO)

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