Sentence examples for facial surfaces from inspiring English sources

GESSA was validated on a publicly available dataset of 3D facial surfaces, Morphface37.

The algorithm automatically places landmark points throughout the facial surfaces and establishes point-wise correspondence across subjects.

Second, we aimed to demonstrate that sampling approximately 4000 facial landmarks produces a dense landmark coverage of facial surfaces.

Second, we needed to examine if the chosen number of sampled GGLs is sufficient to densely cover the facial surfaces.

We also explored the heritability of facial traits based on Euclidean distances (EDTs), as well as equivalent phenotypes measured using Geodesic distances on the facial surfaces (GDTs).

In addition, examination of Supplementary Fig. 7(A) also shows clearly that the landmarks are uniformly distributed across the complete facial surfaces.

Three-dimensional facial surface data were superimposed on the anatomical facial surface provided by the MRI data.

Supplementary Fig. 8 depicts these 19 landmarks on the facial surface.

Figure 4: Distance-based analysis - Selected landmarks depicted on the average TwinsUK facial surface.

This algorithm produces realistic animations of the prototype facial surface from either text or speech.

Curvedness Heritability Map: The map included clear heritable lines in the upper and lower circumference of the facial surface.