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A survey on facial feature extraction techniques for automatic face annotation

机译:自动面注注的面部特征提取技术调查

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Through the detonative development of web photo sharing websites and social network, enormous amount of pictures are uploaded and shared over the internet. Due to the great success of social web portals and social networks, web users are highly motivated to share their pictures over the internet and that permit other users to tag and comment on the pictures. Huge number of photos are shared over the social portals, some of these photos are tagged with appropriate names but many of them are unlabeled. So it becomes hard to understand the name of the individual from image if any random individual sees it. In order to overcome this problem automatic face annotation is used. Automatic face annotation is playing vital role in multimedia information. Automatic face annotation is method to identify human faces from image and assign appropriate human name. Face detection and face recognition are essential tasks in face annotation. In this paper, we discuss the phases of the automatic face annotation and surveyed various techniques of facial feature extraction.
机译:通过Web照片的爆炸性开发共享网站和社交网络,在互联网上上传和共享大量照片。由于社交网站和社交网络的巨大成功,网络用户高度动力在互联网上分享他们的照片,并允许其他用户在图片上标记和评论。在社交门户网站上共享大量照片,其中一些照片被标记为适当的名称,但其中许多都是未标记的。因此,如果任何随机的个体看到它,那么很难理解来自图像的个人的名称。为了克服这个问题,使用自动面部注释。自动脸注释在多媒体信息中发挥着重要作用。自动脸注释是识别来自图像的人类面并分配适当的人类名称的方法。面部检测和面部识别是面部注释中的必要任务。在本文中,我们讨论了自动面注释的阶段,并调查了面部特征提取的各种技术。

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