Coordinate-wise monotonic transformations enable privacy-preserving age estimation with 3D face point cloud

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.

age algorithm china cloud computer sciences deep learning face han life life sciences privacy professor publication research research team science team transformation university wise yang