基于条件GAN的人脸老化识别失散儿童

Amisha Pupala, Samruddhi Mokal, Neha Pandit, Smita Bharne
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引用次数: 1

摘要

人脸识别技术是一个很大的领域,它包含了许多特征,但它也有一些影响这项技术的因素,其中一个因素是面部老化,这使得人脸识别更加困难。与印度一样,每年都有大量儿童失踪。此外,仅仅使用一张照片是不足以使整个过程顺利进行的,这导致了很大比例的失踪儿童案件仍然无法追查。本文提出了一种基于人脸老化的人脸识别新方法,以克服现有系统的局限性。该系统设有一个门户网站,公众可以上传疑似儿童的照片,还具有寻找失踪儿童的功能。该系统主要集中在用于人脸老化的年龄条件生成对抗网络(C-GAN)算法和用于人脸特征提取和识别的FaceNet算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Lost Children using Face Aging with Conditional GAN
Face recognition technology is a big area that consists of the many features in it but it also comes with some of the factors which affect this technology, one of the factors is Face aging which makes face recognition more difficult. As in India, a large number of children go missing every year. Also just using a photograph is not enough for the process to proceed smoothly and it results in a huge percentage of the missing child cases remain untraced. This paper presents a novel use of face recognition with face aging to overcome the limitation of existing systems. The proposed system has a portal where the public can upload an image of a suspected child and also have a feature where searching for any lost child is possible. The proposed system has mainly concentrated on an Age Conditional generative adversarial network (C-GAN) algorithm for face aging and the FaceNet algorithm for face feature extraction and face recognition.
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