Principal component analysis of three ‐dimensional face shape: Identifying shape features that change with age

ConclusionPrincipal component analysis was effective for identifying facial shape features that represent individual and age‐related differences. This method allowed straightforward measurements, such as the increase or decrease in cheeks caused by soft tissue changes or skeletal‐based changes to the forehead or jaw, simply by acquiring three‐dimensional facial images.
Source: Skin Research and Technology - Category: Dermatology Authors: Tags: ORIGINAL ARTICLE Source Type: research