Age Faces
Let’s learn how to age the detected faces in a digital image.
Introduction
Along with the wisdom and achievements that come with getting older, there are inevitable changes in our physical appearance. Typically, aging affects our facial appearance.
Face aging, also known as age synthesis or age progression, revolves around rendering a face in a way that forecasts its future appearance. This process is of great importance for various domains, like those listed below:
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Security fields: Age-related changes are important to information forensics.
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Cross-age face recognition systems: Age-indicative information can be used to increase face-recognition accuracy.
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Entertainment-related applications: FaceApp is one of the best mobile applications for aging and de-aging facial images.
Objective
This lesson will help us develop a lightweight Python utility capable of predicting how a person will look after growing old using their facial image.
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