Smile detection is a specialized task in facial expression analysis with applications such as photo selection, user experience analysis, and patient monitoring. As one of the most important and informative expressions, smile conveys the underlying emotion status such as joy, happiness, and satisfaction. In this paper, an efficient smile detection approach is proposed based on Extreme Learning M...

objectives: this study aimed to find the factors that affect dental esthetics and smile attractiveness in orthodontically treated patients according to laypeople’s judgment, and to determine whether there is any relationship between dental and smile esthetics. materials and methods: using the q-sort technique, 60 laypersons (30 males, 30 females) rated dental and smile photographs of 48 orthodo...

Smile line is one of the most important element of the smile esthetics. In an attractive smile, the maxillary anterior incisal curve is parallel to the lower lip. With the changes in face, lips and teeth muscles, which are caused by aging, this element (smile line) also changes. Aging causes smile line to move from its parallel position and in complete smile, formulate different shapes relative...

INTRODUCTION The objective of this study was to define age-related changes in the smile. The areas of interest were upper lip length at smile and repose, upper lip thickness at smile and repose, maxillary incisal display at smile, interlabial gap height at smile, smile index, percentage of buccal corridors, intercommissural width at rest, smile height, and smile arc. A secondary objective was t...

This paper describes a multi-agent, intelligent learning environment. The system is called F-SMILE and is meant to help novice users learn how to manipulate their file store. F-SMILE consists of a User Modelling (UM) Agent, an Advising Agent, a Tutoring Agent and a Speech-driven Agent. The UM Agent constantly observes the learner and in case it suspects that the user is involved in a problemati...

OBJECTIVE To test the null hypothesis that there is no clinically significant difference between the post-orthodontic treatment images of smiles of subjects captured by clinical photography and the smiles of the same subjects obtained from digital video clips. MATERIALS AND METHODS Clinical photographs and digital video captures were obtained from 48 orthodontically treated patients. An updat...

BACKGROUND Hyperactivity of depressor septi nasi muscle leads to smiling deformity and nasal tip depression. Lateral fascicles of this muscle help in widening the nostrils. The purpose of this study was to evaluate the relationship between the nasal length changes and the alar base and the alar flaring changes during smile. METHODS Standard photographs are performed in the face and lat...