Facial Beauty Research Articles

Golden Ratio and Facial Beauty with Computer Vision

Golden Ratio and Facial Beauty with Computer Vision

THE CONCEPT OF “HERO’S BRIDE” IN THE EARLY TEXTS OF THE YAKUT OLONKHO: A PHENOMENOLOGICAL ASPECT

The article considers the concept of “hero’s bride” in the context of the phenomenological approach based on six early texts of the Yakut Olonkho. In these texts we identified 28 suggestive epic formulas that are the main means of representing the concept being studied. As a result of the study, it was found that the nominative density of the concept “hero’s bride” includes the concepts of “female beauty,” “portrait,” “body,” “youngest daughter,” “needlework,” “clothes,” “braid,” “skylark.” The analysis of these concepts allowed to reveal the aesthetic preferences of female beauty in the minds of native speakers. It turned out that the representations of “female beauty” included such signs as shapeliness, slim body, beautiful face, long braid, white skin, rosy cheeks, thin eyebrows, shiny eyelashes, plump lips, snow-white teeth and restrained character. Particularly important were light, thin skin, through which both bones and veins are visible. The combination of these characteristics formed the idea of the “hero’s bride” — a perfectly beautiful woman who was the standard of beauty in the linguistic image of the world of the Yakuts in the late 19th — early 20th centuries. In addition, the predominance of the “braid” concept with referents “braid in sweep sazhen“ + “Kuo” indicates that this model of the concept explicated all the above aesthetic characteristics of the “hero’s bride” concept in the minds of the listeners. The foregoing indicates the presence of phenomenological associative connections, that is, the concepts once verbalized by the storytellers accumulated in the social memory of the epic audience. In other words, the phenomenon of speech activity, in which there the cumulative and interchangeable nature of concepts included in the conceptual area of the “hero’s bride” is revealed.”

Visual Attention, Bias, and Social Dispositions Toward People With Facial Anomalies: A Prospective Study With Eye-Tracking Technology.

Facial attractiveness influences our perceptions of others, with beautiful faces reaping societal rewards and anomalous faces encountering penalties. The purpose of this study was to determine associations of visual attention with bias and social dispositions toward people with facial anomalies. Sixty subjects completed tests evaluating implicit bias, explicit bias, and social dispositions before viewing publicly available images of preoperative and postoperative patients with hemifacial microsomia. Eye-tracking was used to register visual fixations. Participants with higher implicit bias scores fixated significantly less on the cheek and ear region preoperatively (P = 0.004). Participants with higher scores in empathic concern and perspective taking fixated more on the forehead and orbit preoperatively (P = 0.045) and nose and lips (P = 0.027) preoperativel. Participants with higher levels of implicit bias spent less visual attention on anomalous facial anatomy, whereas participants with higher levels of empathic concern and perspective taking spent more visual attention on normal facial anatomy. Levels of bias and social dispositions such as empathy may predict layperson gaze patterns toward those with facial anomalies and provide insights to neural mechanisms underlying the "anomalous is bad" paradigm.

AEP-GAN: Aesthetic Enhanced Perception Generative Adversarial Network for Asian facial beauty synthesis

AEP-GAN: Aesthetic Enhanced Perception Generative Adversarial Network for Asian facial beauty synthesis

Preferred Facial Profile in Tanzanian Populations

There is a difference in the ideals of facial beauty and aesthetic assessment used in orthodontics, from what public opinion believes. For instance, having a light skin in some of Asian societies is considered as among the important factors for female beauty. Consequently, skin whitening products are very widespread. Occasionally, an orthodontist or any other dental practitioner ignores the public’s perceptions of dental esthetics, and this might lead to dissatisfaction with the treatment outcomes since the patients’ perception may be different from that of the clinician. This study determines the facial profile preferred by Tanzanians population. Study involved 160 adult participants of both sexes from Dar es salaam, Tanzania. Images of participants were modified to generate four types of solid black silhouettes facial profiles. Special questionnaires inquiring demographic information, comprised of eight profile silhouettes, were given to the raters. Correlation and descriptive statistical analysis were computed by Stata15. Associations of the responses were compared according to gender, age, skin color, and income. A t-test was used to compare between genders, while ANOVA was used to compare between, skin color, income and age groups. All statistical significance was accepted at CI 95% and p-values less than 0.05 were considered significant. Interdependence among variables in the sample was determined by multiple regression analysis. Significant correlation was set at p < 0.05. In conclusion, female Straight profile and male Class I profile were the most preferred profiles while, Class III was the least preferred regardless of gender, age, skin color and income differences.

Implementation of an Attention Mechanism Model for Facial Beauty Assessment Using Transfer Learning

An important consideration in medical plastic surgery is the evaluation of the patient's facial symmetry. However, because facial attractiveness is a slightly individualized cognitive experience, it is difficult to determine face attractiveness manually. This study aimed to train a model for assessing facial attractiveness using transfer learning while also using the fine-grained image model to separate similar images by first learning features. In this case, the system can make assessments based on the input of facial photos. Thus, doctors can quickly and objectively treat patients' scoring and save time for scoring. The transfer learning was combined with CNN, Xception, and attention mechanism models for training, using the SCUT-FBP5500 dataset for pre-training and freezing the weights as the transfer learning model. Then, we trained the Chang Gung Memorial Hospital Taiwan dataset to train the model based on transfer learning. The evaluation uses the mean absolute error percentage (MAPE) value. The root mean square error (RMSE) value is used as the basis for experimental adjustment and the quantitative standard for the model's predictive. The best model can obtain 0.50 in RMSE and 18.5% average error in MAPE. A web page was developed to infer the deep learning model to visualize the predictive model.

Improvement of Facial Beauty Prediction Using Artificial Human Faces Generated by Generative Adversarial Network

Improvement of Facial Beauty Prediction Using Artificial Human Faces Generated by Generative Adversarial Network

Assessing Facial Beauty Through a New Perspective: "The Casual Profile".

Facial Plastic Surgery & Aesthetic MedicineAhead of Print Assessing Facial Beauty Through a New Perspective: “The Casual Profile”Maria Estiragues and Bernardo HontanillaMaria EstiraguesDepartment of Plastic and Reconstructive Surgery, Clinica Universidad de Navarra, Pamplona, Spain.Search for more papers by this author and Bernardo Hontanilla*Address correspondence to: Bernardo Hontanilla, MD, PhD, Department of Plastic and Reconstructive Surgery, Clinica Universidad de Navarra, Avda Pio XII 36, Pamplona 31008, Spain, E-mail Address: bhontanill@unav.eshttps://orcid.org/0000-0001-6186-4791Department of Plastic and Reconstructive Surgery, Clinica Universidad de Navarra, Pamplona, Spain.Search for more papers by this authorPublished Online:20 Mar 2023https://doi.org/10.1089/fpsam.2022.0352AboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View article"Assessing Facial Beauty Through a New Perspective: “The Casual Profile”." Facial Plastic Surgery & Aesthetic Medicine, , pp. –FiguresReferencesRelatedDetails Volume 0Issue 0 InformationCopyright 2023, American Academy of Facial Plastic and Reconstructive Surgery, Inc.To cite this article:Maria Estiragues and Bernardo Hontanilla.Assessing Facial Beauty Through a New Perspective: “The Casual Profile”.Facial Plastic Surgery & Aesthetic Medicine.ahead of printhttp://doi.org/10.1089/fpsam.2022.0352Online Ahead of Print:March 20, 2023PDF download

Geometric prior guided hybrid deep neural network for facial beauty analysis

AbstractFacial beauty analysis is an important topic in human society. It may be used as a guidance for face beautification applications such as cosmetic surgery. Deep neural networks (DNNs) have recently been adopted for facial beauty analysis and have achieved remarkable performance. However, most existing DNN‐based models regard facial beauty analysis as a normal classification task. They ignore important prior knowledge in traditional machine learning models which illustrate the significant contribution of the geometric features in facial beauty analysis. To be specific, landmarks of the whole face and facial organs are introduced to extract geometric features to make the decision. Inspired by this, we introduce a novel dual‐branch network for facial beauty analysis: one branch takes the Swin Transformer as the backbone to model the full face and global patterns, and another branch focuses on the masked facial organs with the residual network to model the local patterns of certain facial parts. Additionally, the designed multi‐scale feature fusion module can further facilitate our network to learn complementary semantic information between the two branches. In model optimisation, we propose a hybrid loss function, where especially geometric regulation is introduced by regressing the facial landmarks and it can force the extracted features to convey facial geometric features. Experiments performed on the SCUT‐FBP5500 dataset and the SCUT‐FBP dataset demonstrate that our model outperforms the state‐of‐the‐art convolutional neural networks models, which proves the effectiveness of the proposed geometric regularisation and dual‐branch structure with the hybrid network. To the best of our knowledge, this is the first study to introduce a Vision Transformer into the facial beauty analysis task.

Body perception in pregnant women: a qualitative study

BackgroundDramatic body changes in pregnancy cause severe concerns among pregnant women about their appearance. Therefore, this study aimed to explore body perception in pregnant women.Materials and methodsThe qualitative study, using the conventional content analysis approach, was conducted on Iranian pregnant women who were in their second or third trimester of pregnancy. Participants were selected through purposeful sampling method. In-depth and semi-structured interviews were held with 18 pregnant women aged 22 to 36 years, using open-ended questions. Sampling was performed until data saturation was reached.ResultsThree main categories were extracted from 18 interviews: (1) “symbols,” with two subcategories, including ‘motherhood’ and ‘vulnerability,’ (2) “feelings toward body changes,” with five subcategories, including ‘negative feelings toward skin changes,’ ‘feeling unfit,’ ‘attention-drawing body shape,’ ‘the ridiculous body shape’ and ‘obesity,’ and (3) “attraction and beauty,” with two subcategories, including ‘sexual attraction’ and ‘facial beauty.’ConclusionThe results showed that pregnant women’s body perception could be described as maternal feelings and feminine attitudes toward changes during pregnancy compared to mental ideals of facial and body beauty. It is recommended that Iranian women’s body perception during pregnancy be evaluated using this study results and that counseling interventions be implemented for women with negative body perceptions.

Yuvan pidika: An introductory review W.S.R. to acne vulgaris

In today’s world, the personality of a person is first assessed by his looks and the beauty of the face is the prime attraction. Beauty of the face creates a sense of pleasure to sight. Although the beauty of face is important to all but it is of prime concern to adolescents. Yuvan Pidika is one such disease illustrated in Ayurveda which affects the beauty of face. This disease has been described under kshudraroga in many classical texts. Yuvan Pidika is characterized by symptoms like swelling, pain, redness, itching etc. caused due to vitiation of Kapha, Vata, Rakta dosha. Yuvan Pidika can be correlated with Acne Vulgaris in modern science. Acne is a chronic inflammatory condition of the pilosebaceous follicles affecting 85% of teenagers and thus causing a great harm to psycho-social development of youth in this era. Thus, an attempt has been made to explain cause, expression and management of Yuvan Pidika in ayurvedic perspective.

A case report: Surgical esthetic crown lengthening procedure for gummy smile treatment

Background: In modern society, a harmonious smile is considered a symbol of beauty. An attractive smile can improve appearance so that a person is more easily accepted in society. In planning dental treatment to be carried out, aesthetic considerations are very relevant because of the relationship between smile and facial beauty. Purpose: The purpose of writing this article is to describe a crown lengthening accompanied by bone reduction to correct an excessive gingival display in a patient with altered passive eruption (APE) of the maxillary anterior teeth. Case: A 28-year-old female patient came to the Periodontology Specialist Polyclinic at RSGM Airlangga University with complaints that the gums on the upper front teeth looked more dominant. The patient did not have problems with the periodontal tissue and had no history of systemic diseases such as diabetes, high blood pressure, and had no history of allergies to food and drugs. Case Management: After analyzing the periodontal tissue, the choice of crown lengthening with bone reduction was chosen to treat this case. Conclusion: procedures Crown lengthening have been performed as a viable option to facilitate restorative therapy or improve esthetic appearance.

An Ensemble DCNNs-Based Regression Model for Automatic Facial Beauty Prediction and Analyzation

An Ensemble DCNNs-Based Regression Model for Automatic Facial Beauty Prediction and Analyzation

Study of platelet-rich plasma application for skin and plastic surgery in recent 20 years: A bibliometric analysis.

In recent years, platelet-rich plasma (PRP) has been used in plastic surgery, dermatology, and other treatment procedures worldwide. Since the number of scientific writings has been significantly increasing, it is challenging to generate a manual compilation and systematic review of PRP's therapeutic applications in dermatology and plastic surgeries. This study aimed to make a bibliometric analysis of the literature in the field and evaluate research hotspots and frontiers in this field in the past 20 years. Using the Academic Search Premier and ScienceDirect defined search terms, we searched the Web of Science Core Collection (WoSCC) and Scopus databases. All data were analyzed using CiteSpace 5.8.R3 and VOSviewer, including countries, institutions, authors, keywords, cited authors, cited journals, cited references, discovered research hotspots, and frontiers. A total of 1931 studies were retrieved. The number of publications on PRP application in dermatology and plastic surgeries showed a yearly increase. The United States was the most significant contributor to this field, while Italy's contribution was noteworthy. The journal with the highest number of relevant articles in dermatology and plastic surgery included the Journal of Cosmetic Dermatology. However, the Wound Repair and Regeneration and International Journal of Molecular Sciences were the leading journals that should be paid attention to in the future. Author Anitua E from the Tor Vergata University of Rome published the most publications in this field. In the keyword co-occurrence analysis, all keywords were divided into six clusters, and the most common one in recent years was "PRP for facial beauty." Facial rejuvenation, scar, and alopecia were the main hotspots and research trends in this field. Based on the current global trends, the use of PRP in cosmetics and skin care is receiving increasing attention from researchers and clinicians. Recently, an increasing number of articles on PRP's application in skin tissue repair have been published in the United States and Italy. The number of studies on hair loss, facial rejuvenation, and scar management is increasing, suggesting that these subjects may become research hotspots for PRP in dermatology and cosmetic surgeries in recent years.

Learning efficient facial landmark model for human attractiveness analysis

Existing geometric features on facial attractiveness analysis only focus on the ratios and distances, which is incomplete to represent all the information of a face. In this paper, we introduce a new category of feature, i.e., the angle features, to describe the angle of different organs such as the chin and eyes, which help boost the analysis performance in experiment. In addition, existing facial beauty analysis papers usually apply existing landmark models and extract their own different geometric feature sets on the landmarks. On the one hand, the geometric features are quite chaotic between different papers. On the other hand, most of the landmarks in the existing landmark model are useless for geometric feature extraction which wastes a lot of computational resources. To tackle these issues, we suggest to define a common geometric feature set and learn a special landmark model for attractiveness analysis. Specially, we collect all the available geometric features from the previous jobs and introduce a genetic feature selection algorithm to select the most effective geometric features. Furthermore, we introduce a special landmark model which exactly covers all the extracted geometric features. The experiments show that our method with the introduced angle features and the common feature set can outperform state-of-art facial beauty estimation methods with geometric features.

Face-specific negative bias of aesthetic perception in depression: Behavioral and EEG evidence.

Symptoms of depression are associated with the dysfunction of neural systems such as the emotion, reward system, and the default mode network. These systems were suggested by the model of neuroaesthetics as key contributions to aesthetic experience, leading to the prediction of atypical aesthetic orientation in depression. Here we investigated the aesthetic characteristics of depression and the corresponding neural underpinnings. Fifty-two (25 depression patients, 27 healthy controls) participants were asked to make aesthetic judgments on faces and landscapes in an electroencephalographic (EEG) experiment. Our results indicate that relative to the controls, the depression tended to give ugly judgments and refrained from giving beautiful judgments, which was observed only for faces but not for landscapes. We also found that the face-induced component N170 was more negative in the depression group than the control group for ugly and neutral faces. Moreover, the aesthetic evaluation of ugly faces was associated with decreased N200 negativity in the depression group than in the control group, while the evaluation of beautiful faces was associated with decreased brain synchronization at the theta band. These results suggested a face-specific negative aesthetic bias in depression which can help to design and develop aesthetics-oriented schemes in assisting the clinical diagnosis and therapy of depression.

Development and Validation of a Photonumeric Scale for Evaluation of Lip Fullness.

The shape, proportion, and fullness of one's lips are associated with overall facial beauty and attractiveness. Lip augmentation, due to personal preference or to reverse natural aging, has become a standard clinical procedure to improve lip volume or proportion. Several options are available to redefine the lips. To objectively evaluate treatment-related improvements in clinical practice and research, a validated photonumeric scale is needed. To present scale-development methods for the Merz Lip Fullness Assessment Scale (MLFAS) and establish its reliability. A 5-point photonumeric scale was developed to objectively assess loss of lip volume using male and female subjects of various ages and skin types. To establish intra- and interrater reliability, 8 board-certified dermatologists and plastic surgeons evaluated 64 subjects live in 2 sessions, 2 weeks apart. The weighted kappa for intra- and interrater agreement were ≥ 0.6 in all cases. Intrarater agreement between the 2 rating sessions was nearly perfect (median weighted kappa = 0.911 and 0.930 for the upper lip and lower lip, respectively). Substantial interrater agreement between each rater pair was also demonstrated for both rating sessions, and ratings of upper and lower lip fullness showed comparable reliability. The MLFAS is a validated and reliable photonumeric scale for rating loss in lip volume. The scale maintains its reliability with reproducible results across a diverse group of males and females of various ages and Fitzpatrick skin types. J Drugs Dermatol. 2023;22(3): doi:10.36849/JDD.7309.

The neural determinants of abstract beauty.

We have enquired into the neural activity which correlates with the experience of beauty aroused by abstract paintings consisting of arbitrary assemblies of lines and colours. During the brain imaging experiments, subjects rated abstract paintings according to aesthetic appeal. There was low agreement on the aesthetic classification of these paintings among participants. Univariate analyses revealed higher activity with higher declared aesthetic appeal in both the visual areas and the medial frontal cortex. Additionally, representational similarity analysis (RSA) revealed that the experience of beauty correlated with decodable patterns of activity in visual areas. These results are broadly similar to those obtained in previous studies on facial beauty. With abstract art, it was the involvement of visual areas implicated in the processing of lines and colours while with faces it was of visual areas implicated in the processing of faces. Both categories of aesthetic experience correlated with increased activity in medial frontal cortex. We conclude that the sensory areas participate in the selection of stimuli according to aesthetic appeal and that it is the co-operative activity between the sensory areas and the medial frontal cortex that is the basis for the experience of abstract visual beauty. Further, this co-operation is enabled by "experience dependent" functional connections, in the sense that currently the existence and high specificity of these connections can only be demonstrated during certain experiences.

The art of film: Perspective on neural clues to repeated attraction to movie watching

This article about possible neural underpinning of repeated attraction to watching movies is dedicated to the memory of Prof. Eran Zaidel, who made outstanding contributions to neuroscience (and loved watching movies). The film is an art form crafted by multiple artists from diverse fields, contributing specialized skills, talents, and creativity to the final product. Attention-attraction to all artworks has deep biological roots. Movies have been attracting audiences repeatedly ever since they were introduced over 100 years ago. Although countless studies analyzed the nature of the art, the neural underpinning of repeated attraction to viewing movies has been understudied. Here, clues gleaned from non-film findings are proposed. The perspective suggests that functions of the mesolimbic “reward pathway” associated with pleasure and joy, the brain regions responding to facial beauty, to pictorial art aesthetics, and to music listening with increased dopamine levels are all recruited in the repeated attraction.

Starch- and carboxymethyl cellulose-based films as active beauty masks with papain incorporation

This work aimed to evaluate the effects of the incorporation of papain in biopolymeric-based beauty face masks with exfoliation activity of the skin. The masks were produced by casting with starch and carboxymethyl cellulose blend (50:50 weight percentages). The macro and microstructure, protein distribution, thickness, moisture content, water contact angle, solubility matter, and mechanical properties were evaluated. Moreover, the in vitro proteolytic and exfoliation activity and storage stability were also evaluated. The films with papain had a more concise matrix which provided higher mechanical properties and lower water solubility when compared to the control film (without papain). Films with 1, 2, and 5 % of papain had enzymatic activity for casein and porcine skin substrates. The micrographs of porcine skin treated with 2 and 5 % of papain showed more difference when compared to the control sample, indicating the enzymatic exfoliation. Differently from the solution of papain, the enzyme that was immobilized in the films maintained its activity for up 90 days during the storage stability assay. Based on the physicochemical properties and proteolytic activities, the films preserved the exfoliation activity of papain and have interesting characteristics to act as beauty masks in the cosmetic field.