3D stereophotogrammetry makes the analysis of facial soft tissues possible, and has the potential to contribute to human identification processes. Nowadays, the images available through social networks are composed of a significant amount of smile photos, making techniques such as 3D stereophotogrammetry relevant.

The objective of the present study was to quantitatively analyze the anthropometric measurements of the smile through 3D stereophotogrammetry, including area, angular, and linear measurements. Anatomical landmarks were used to make possible the area, angular, and linear measurements. The sample consisted of 25 volunteers, 13 female and 12 male, both in the 19-25 age group, resulting in a mean age of 22.3±1.9 and 23.3±1.5, respectively. The anatomical landmarks were marked on the face of the volunteers using a black eyeliner, and the photographs were taken using the 3D stereophotogrammetry technique (Vectra H1, Canfield, NY, USA), being 3 photographs with a spontaneous smile and 3 at rest, right lateral, left lateral and frontal of each. Among the results of the comparison between genders and the photo/smile relation of the statistical analysis, variables such as the mentolabial angle and the vermilion height of the upper lip showed significant p-values of 0.046 and 0.014, respectively. It can be concluded that anthropometric measurements of three-dimensional smile images can be performed with the use of 3D stereophotogrammetry, with the purpose of contributing to facial identification methods.