Sentence examples for important facial from inspiring English sources

Gray-bearders frown on phoner TV interviews because, well — for the very same reasons that Trump cited to his followers in North Carolina: They're easy for the candidate, they hide important facial and body language from viewers, and so on.

The smaller, plainer America of the mid-19th century is evoked by the brownish chiaroscuro of Janusz Kaminski's cinematography, by the mud, brick and wood of Rick Carter's production design and by enough important facial hair to make the young beard farmers of 21st-century Brooklyn weep tears of envy.

The smile is one of the most important facial expressions and is essential in expressing friendliness, agreement, and appreciation.

Moreover, there are methods for the detection of important facial events such as head gestures [20, 22, 23], eyebrows movement and eyes blinking/squint [20], along with facial expressions recognition [22, 24, 25] within the context of SL.

The most important facial anomalies are represented by the lack of pneumatization of mastoid cells and paranasal cavities; the mandible is short and broad, mandibular condyles are undeveloped and the temporomandibolar joint may exhibit limited motion; unerupted and widely spaced teeth can also be found (Fig. 1).

The HOYS education program allows for a personalized, effective, and efficient methodology for assessing seven important facial or extrafacial regions which are commonly visible and exposed.

When playing up your brows, "keep the rest of the face simple and fresh, with bare eyes, defined lashes and a moist, natural lip," says Pat McGrath, the creative design director for Procter & Gamble".Full eyebrows at any age exude youth and are important to facial symmetry," Brooke says.

Body language may be as important as facial expressions in communicating emotions such as fear, a new study shows.

The nose is the center of a 3D face, so nose detection is important for facial region extraction.

Five genes emerged as important to facial features, Kayser and his colleagues report today in PLoS Genetics.

Notice that the sub-sampling layers make the output of convolution networks more robust to local translations and small registrational errors, which is important in facial recognition problem.