人脸预测，面部老化，面部进展。全部= 1.是否意味着将来我的脸貌如何？ [英] Human face prediction, face aging, face progression. All=1.means how my face will look like in future ?

问题描述

你好我们要为我的最后一年项目建立人脸预测，我尝试过搜索和阅读研究论文，文章等......但仍然不知道如何做面部预测。例如= In20Years.com - 见到你... 20年！让你的脸看起来老了 [ ^ ]



我尝试了什么：



我得到了< a href =http://www.codeproject.com/Articles/110805/Human-Emotion-Detection-from-Image>图像中的人体情感检测 [ ^ ]，它是关于我正在进行预测的情感。我正在工作在c＃上，从帮助（情绪检测）到最后一步（忽略情绪检测步骤）的所有步骤，现在我需要预测选定的面部如何做到这一点......？真的需要帮助。谢谢你

hello guys I going to build human face prediction for my final year project, I have tried searching and reading research papers, article ect... but still have no idea how to do face prediction. example = In20Years.com - See You... In 20 Years! Make your face look old for free[^]

What I have tried:

I have got help from Human Emotion Detection from Image[^],its about emotion while I am working on prediction.I am working on c# and have all the steps from the help(emotion detection) up to the last step(ignoring the emotion detection step),now I need to predict the selected face how to do that...? really need help.thank you

推荐答案

你必须阅读一些基于人脸的生物文章。



-研究颅骨多年来如何变化，颅骨部位长大或缩小，研究比例

-Skin皱纹建筑



额头和眼睛区域在计算年龄方面最有洞察力。

You have to read some biologic articles based on human faces.

-Study how the skull alters in years, what skull parts grow or shrink, study the ratio
-Skin wrinkles building

The forehead and eye regions is most insightful in calculating the age.

也许您选择了一个没有编程剁的项目。

Maybe you've selected a project that you don't have the programming chops to pull off.

这不仅仅是计算机编程。它涉及机器学习的学科。从现在起20年后你怎么能预测一个人的样子？一种方法是比较许多人的过去和现在的面部图像，其中很多人，并了解差异。要做到这一点，你需要一组人的两组面部图像，一组由二十年前这些人的面部图像组成，另一组是今天的面部图像。使用一些AI技术，例如神经网络，训练计算机找到找到相隔二十年的人的匹配面部图像的未知算法。

培训部分完成后，您可以为受过训练的机器提供20年新人群的面部图像，并了解今天这些人的面部图像的准确程度。 />
为了便于预测的准确性，您可以在性别方面进一步分离数据集，包括生活方式，婚姻状况，饮食等其他要素。在这方面，对人的年龄进行研究可以帮助您确定除了面部图像数据集之外的学习计算机的正确参数。

开始研究AI和机器学习进行预测，关于人类衰老的研究期刊等。在使用计算机编程实现解决方案之前，您需要先了解如何解决问题。

This is more than mere computer programming. It involves the discipline of machine learning. How can you predict the look of a person 20 years from now? One way is to compare the past and the present facial images of many many people, a lot of them, and learn of the differences. To do this, you will need two sets of facial images of a group of people, one set consists of facial images of these people twenty year ago, another set their facial images of today. Use some AI techniques, such as neural networks, to train the computer to find the unknown algorithm of finding the matching facial images of a person twenty years apart.
Once the training part is done, you can then feed the trained machine with facial images of a new group of people twenty years and see how accurate it can find the facial images of these people today.
To facilitate the accuracy of the prediction, you may separate the data set further in terms of gender and including other elements such as life style, marital status, diet, and so on. In this respect, a research into how a person ages may help you to determine the right parameters for feeding the learning computer apart from the facial images data set.
Start researching into AI and machine learning for prediction, research journals on human aging etc. You need to know how to solve the problem first, before you can implement the solution using computer programming.

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