Unsupervised human height estimation from a single image

Abstract

The single image containing only a human face not previously addressed in the literature is employed to estimate body height. The human face especially the facial vertical distribution possesses some important information which strongly correlates with the stature. The vertical proportions keep up relative constancy during the human growth. Only a few facial features such as the eyes, the lip and the chin are nec-essary to extract. The metric stature is esti-mated according to the statistical measurement sets and the facial vertical golden proportion. The estimated stature is tested with some indi-viduals with only a single facial image. The per-formance of the proposed method is compared with some similar methods, which shows the proposal performs better. The experimental re-sults highlight that the developed method esti-mates stature with high accuracy.