Deep Learning Based Application in Detecting Wrinkle and Predicting Age

Pallavi M O, Vishwanath Y, A. Raj
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Abstract

One of the natural process that happens in human body is aging, estimating age is one of the challenging task as it includes variety of factors like gender, lifestyle, workplace and mental health. The basic objective of this work is to recognize the human face using suitable face recognition technique, abstract the features of recognized face using appropriate feature extraction method. Although there are numerous applications for predicting age based on face photos and other skin-related elements, we propose a suitable and accurate method which detects wrinkles and predicts age by comparing and analyzing the various advanced technologies present.
基于深度学习在皱纹检测和年龄预测中的应用
衰老是人体发生的自然过程之一,估计年龄是一项具有挑战性的任务,因为它包括性别、生活方式、工作场所和心理健康等各种因素。本工作的基本目标是使用合适的人脸识别技术对人脸进行识别,使用合适的特征提取方法对识别出来的人脸进行特征提取。虽然基于面部照片和其他皮肤相关元素预测年龄的应用很多,但我们提出了一种合适而准确的方法,通过比较和分析现有的各种先进技术来检测皱纹并预测年龄。
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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