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Skin and hair in 3D

Wednesday, 19 October 2022
Mathematician Alessio Gallucci improves the mapping of human skin by using models and deep learning.

With just a scan of your face and a little basic data, such as height and weight, mathematician Alessio Gallucci can produce a complete body scan. To improve the 3D analysis of our skin he used deep learning techniques. 3D analysis helps us to epilate and shave, but doctors use it too. It can help them with things like establishing the right drug dosage. Gallucci recently received his doctorate from the department of Mathematics and Computer Science.

Algorithms are probably not uppermost in your mind when you're standing before the mirror, doing your best to give your beard a stylish trim. Yet for the past four years Alessio Gallucci has worked hard to make it easier for you in front of that mirror. While doing his master's internship, he realized that applied research is where his heart lies, provided that now and then he can go deep into the science. And so a combined PhD program at Philips Research and the Department of Mathematics and Computer Science seemed made to measure for him.

“There are many advantages to being better able to map human skin,” Gallucci explains. “Of course it's nice to be able to produce a fine-looking beard – he strokes his own ‘growth’ and winks – but in the medical field, too, new technology is creating more possibilities. Broadly speaking, my project relates to two areas of application: the skin's form globally and locally. This involved looking in both 2D and 3D.