In a recent publication in Science China Life Sciences, a research team led by Professor Jing-Dong Jackie Han and Ph.D. student Xinyu Yang from Peking University established a deep learning model for age estimation using non-registered 3D face point clouds. They also proposed the coordinate-wise monotonic transformation algorithm to isolate age-related facial features from identifiable human faces.
Coordinate-wise monotonic transformations enable privacy-preserving age estimation with 3D face point cloud
Reader’s Picks
-
A new study co-authored by Yale sociologist Nicholas A. Christakis demonstrates that tapping into the dynamics of friendship significantly improves [...]
-
Parents often worry about the use of social media among children and young people. Caring about this is a good [...]
-
Most young adult men in Australia reject traditional ideas of masculinity that endorse aggression, stoicism and homophobia. Nonetheless, the ongoing [...]