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The muscles of the face play a prominent role in the expression of emotion, [1] and vary among different individuals, giving rise to additional diversity in expression and facial features. [29] Variations of the risorius, triangularis and zygomaticus muscles. People are also relatively good at determining if a smile is real or fake.
It should only contain pages that are Facial features or lists of Facial features, as well as subcategories containing those things (themselves set categories). Topics about Facial features in general should be placed in relevant topic categories .
The cheeks (Latin: buccae) constitute the area of the face below the eyes and between the nose and the left or right ear. Buccal means relating to the cheek. In humans , the region is innervated by the buccal nerve .
Medical or body shape altering devices (e.g., tooth braces, bandages, casts, hearing aids, cervical collar, crutches, contact lenses of different colours, glasses, gold teeth). For example, the same person's appearance can be quite different, depending on whether they use any of the aforementioned modifications.
On the trunk of the body, the chest is referred to as the thoracic area. The shoulder in general is the acromial, while the curve of the shoulder is the deltoid. The back as a general area is the dorsum or dorsal area, and the lower back as the lumbus or lumbar region. The shoulderblades are the scapular area and the breastbone is the sternal ...
A scan of a person's iris, fingerprint, face, or other distinguishing feature is created, and a series of biometric points are drawn at key locations in the scan. For example, in the case of a facial scan, biometric points might be placed at the tip of each ear lobe and in the corners of both eyes.
The nasolabial folds, commonly known as "smile lines" [1] or "laugh lines", [2] [self-published source] are facial features. They are the two skin folds that run from each side of the nose to the corners of the mouth. They are defined by facial structures that support the buccal fat pad. [3] They separate the cheeks from the upper lip.
According to the study, while most of facial images' predictive power is attributable to basic demographics (age, gender, race) extracted from the face, image artifacts, observable facial characteristics, and other image features extracted by deep learning all contribute to prediction quality beyond demographics.