Neither facial aggressiveness nor facial width to height ratio are related to fighting success

2021 ◽  
Author(s):  
Thomas Richardson ◽  
Anam Bhutta ◽  
Elena Bantoft ◽  
R. Tucker Gilman
Keyword(s):  
Body Size ◽  
Recent Work ◽  
Head Tilt ◽  
Facial Features ◽  
Human Face ◽  
Height Ratio ◽  
Moderate Agreement

There is a growing consensus that there is information in a man’s faces about how formidable (big and strong) he is. Recent work in mixed martial artists has shown that there may be facial correlates of fighting success. Fighters with more aggressive looking faces, as well as higher facial width to height ratios (fWHR), win a greater percentage of their fights. This has been used as evidence that human males may have evolved to signal and detect formidability using facial features. However, all previous studies have used datasets that may have considerable overlap, so it is important to replicate these effects in new samples. Moreover, some studies show that facial width to height ratio is correlated with body size, which may have confounded associations between fWHR and fighting success. The present study attempted to replicate and expand previous findings in 3 samples totalling several hundred professional fighters taken from several combat sporting leagues. I also tested whether head tilt affected ratings of aggressiveness, as previous studies have found conflicting effects. Overall, I found no significant links between fighting success and fWHR or facial aggressiveness. Tilting the head up or down both made a fighter’s face look more aggressive. Interestingly, there was only low-moderate agreement between raters on the apparent aggressiveness of a given face. Further, I found that facial width to height ratio was related to body size, and that body size mediated the link between fWHR and perceived aggression. This work casts doubt on several theories that argue the human face evolved to show fighting prowess and threat.

AN EFFICIENT APPROACH FOR FACE DETECTION AND FACIAL FEATURE LOCATION USING PRUNE-AND-SEARCH TECHNIQUE

2004 ◽  
Vol 18 (06) ◽  
pp. 987-1005 ◽  
Author(s):  
CHIN-CHEN CHANG ◽  
YUAN-HUI YU
Keyword(s):  
Face Detection ◽  
Facial Feature ◽  
Facial Features ◽  
Base Line ◽  
Human Face ◽  
Feature Location ◽  
Search Technique ◽  
Efficient Approach ◽  
Human Face Detection ◽  
Geometric Knowledge

This paper proposes an efficient approach for human face detection and exact facial features location in a head-and-shoulder image. This method searches for the eye pair candidate as a base line by using the characteristic of the high intensity contrast between the iris and the sclera. To discover other facial features, the algorithm uses geometric knowledge of the human face based on the obtained eye pair candidate. The human face is finally verified with these unclosed facial features. Due to the merits of applying the Prune-and-Search and simple filtering techniques, we have shown that the proposed method indeed achieves very promising performance of face detection and facial feature location.

scholarly journals Pre filtering techniques for face recognition based on edge detection algorithm

2017 ◽  
Vol 7 (1.1) ◽  
pp. 213
Author(s):  
Sheela Rani ◽  
Vuyyuru Tejaswi ◽  
Bonthu Rohitha ◽  
Bhimavarapu Akhil
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Detection Algorithm ◽  
Facial Features ◽  
Human Face ◽  
Video Frames ◽  
Similar Idea ◽  
The Individual ◽  
The Given ◽  
Interesting Area

Recognition of face has been turned out to be the most important and interesting area in research. A face recognition framework is a PC application that is apt for recognizing or confirming the presence of human face from a computerized picture, from the video frames etc. One of the approaches to do this is by matching the chosen facial features with the pictures in the database. It is normally utilized as a part of security frameworks and can be implemented in different biometrics, for example, unique finger impression or eye iris acknowledgment frameworks. A picture is a mix of edges. The curved line potions where the brightness of the image change intensely are known as edges. We utilize a similar idea in the field of face-detection, the force of facial colours are utilized as a consistent value. Face recognition includes examination of a picture with a database of stored faces keeping in mind the end goal to recognize the individual in the given input picture. The entire procedure covers in three phases face detection, feature extraction and recognition and different strategies are required according to the specified requirements.

scholarly journals Targets’ Facial Width-to-Height Ratio Biases Pain Judgments

2017 ◽  
Author(s):  
Jason C. Deska ◽  
Kurt Hugenberg
Keyword(s):  
Person Perception ◽  
Structural Characteristics ◽  
Pain Medication ◽  
Current Work ◽  
Human Face ◽  
Height Ratio ◽  
Past Work ◽  
Accurate Perception ◽  
Face Structure ◽  
Stable Feature

The accurate perception of others’ pain is important for both perceivers and targets. Yet, like other person perception judgments, pain judgments are prone to biases. Although past work has begun detailing characteristics of targets that can bias pain judgments (e.g., race, gender), the current work examines a novel source of bias inherent to all targets: structural characteristics of the human face. Specifically, we present four studies demonstrating that facial width-to-height ratio, a stable feature of all faces, biases pain judgments. Compared to those with low facial width-to-height ratio, individuals with high facial width-to-height ratio are perceived as experiencing less pain in otherwise identical situations (Studies 1, 2, & 3), and as needing less pain medication to salve their injuries (Study 4). This process was observed for White but not Black targets (Study 2), and manipulations of facial width-to-height ratio affected pain perceptions even when target identity was held constant (Study 4). Together, these findings implicate face structure in judgments of others’ pain.

scholarly journals Which facial features are central in impression formation?

2020 ◽  
Author(s):  
Bastian Jaeger ◽  
Alex Lee Jones
Keyword(s):  
Machine Learning ◽  
Social Perception ◽  
Impression Formation ◽  
Emotional Expressions ◽  
Facial Features ◽  
Relative Importance ◽  
Height Ratio ◽  
Wide Range

Which facial characteristics do people rely on when forming personality impressions from faces? Previous research has uncovered an array of facial features that influence people’s impressions. Even though some (classes of) features, such as facial width-to-height ratio or resemblances to emotional expressions, play a central role in theories of social perception, their relative importance in impression formation remains unclear. Here, we model faces along a wide range of theoretically important dimensions. We use machine learning to test how well 31 features predict impressions of trustworthiness and dominance in a diverse set of 597 faces. In line with overgeneralization theory, emotion resemblances were most predictive of both traits. Other features that have received a lot of attention in the literature, such as facial width-to-height ratio, were relatively uninformative. Our results highlight the importance of modeling faces along a wide range of dimensions to elucidate their relative importance in impression formation.

scholarly journals Human face structure correlates with professional baseball performance: insights from professional Japanese baseball players

2013 ◽  
Vol 9 (3) ◽  
pp. 20130140 ◽  
Author(s):  
Hikaru Tsujimura ◽  
Michael J. Banissy
Keyword(s):  
Financial Performance ◽  
Professional Baseball ◽  
Human Face ◽  
Sports Performance ◽  
Height Ratio ◽  
Baseball Players ◽  
Daily Lives ◽  
Face Structure ◽  
The Relationship ◽  
Source Of Information

In our daily lives, we use faces as a major source of information about other people. Recent work has begun to highlight how one's facial width-to-height ratio (fWHR) is linked to a number of behaviours (e.g. deception, aggression and financial performance in firms). fWHR has also been linked to several factors that may be beneficial for sport (e.g. achievement drive, winning mentality and aggression). Despite this, few studies have examined the relationship between fWHR and sports performance, and these have focused on Caucasian sportsmen. Here, we investigated the relationship between fWHR and baseball performance in professional Japanese baseball players. We show that fWHR is positively related with home run performance across two consecutive seasons. The findings provide the first evidence linking fWHR to baseball performance and linking fWHR to behavioural outcomes in Asian participants.

scholarly journals A Study of Facial Features of American and Japanese Cartoon Characters

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 664 ◽  
Author(s):  
Kun Liu ◽  
Jun-Hong Chen ◽  
Kang-Ming Chang
Keyword(s):  
Design Process ◽  
Facial Features ◽  
Human Face ◽  
Research Results ◽  
Real People ◽  
Study Results ◽  
Animated Characters ◽  
Cartoon Characters ◽  
Human Faces ◽  
Japanese Animation

Many researchers think that the characters in animated cartoons and comics are designed according to the exaggeration or reduction of some features based on the human face. However, the feature distribution of the human face is relatively symmetrical and uniform. Thus, to ensure the characters look exaggerated, but without breaking the principle of symmetry, some questions remain: Which facial features should be exaggerated during the design process? How exaggerated are the faces of cartoon characters compared to real faces? To answer these questions, we selected 100 cartoon characters from American and Japanese animation, collected data from their facial features and the facial features of real people, and then described the features using angles, lengths, and areas. Finally, we compared cartoon characters’ facial features values with real facial features and determined the key parts and degree of facial exaggeration of animated characters. The research results show that American and Japanese cartoon characters both exaggerate the eyes, nose, ears, forehead, and chin. Compared with human faces, taking the eye area as an example, American animation characters are twice as large compared with human faces, whereas Japanese animation characters are 3.4 times larger than human faces. The study results can be used for reference by animation character designers and researchers.

scholarly journals Genome-wide Association study of facial morphology identifies novel genetic loci in Han Chinese

2019 ◽  
Author(s):  
Yin Huang ◽  
Dan Li ◽  
Lu Qiao ◽  
Yu Liu ◽  
Qianqian Peng ◽  
...  
Keyword(s):  
Chinese Population ◽  
Genetic Regulation ◽  
Han Chinese ◽  
Facial Features ◽  
Facial Morphology ◽  
Human Face ◽  
Genetic Loci ◽  
Han Chinese Population ◽  
Genome Wide ◽  
Different Populations

AbstractHuman face is a heritable surface with many complex sensory organs. In recent years, many genetic loci associated with facial features have been reported in different populations, yet there is a lack for the Han Chinese population. We report a genome-wide association analysis of 3D normal human faces in 2659 Han Chinese with two groups of phenotypes, the partial and whole face phenotypes and the distance and angle phenotypes. We found significant signals in five genomic regions with traits related to nose or eyes, including rs970797 in 2q31.1 near HOXD1 and MTX2, rs16897517 in 8q22.2 at intron of VPS13B, rs9995821 in 4q31.3 near DCHS2 and SFRP2, rs12636297 in 3q23 near PISRT1, and rs12948076 in 17q24.3 near SOX9 and CASC17. We visualized changes in facial morphology by comparing the volume of local areas and observed that these nose-related loci were associated with different features of the nose, including nose prominence, nasion height, and nostril shape, suggesting that the nose underlies precise genetic regulation. These results provide a more comprehensive understanding of the relationship between genetic loci and human facial morphology.Author SummaryHuman face as a combination of delicate sensory organs has a strong genetic component, as evidenced by the identical appearance in twins and shared facial features in close relatives. Although facial genetics have been studied in different populations, our knowledge between genetic markers with facial features is still limited. In this paper, we found genetic variants associated with nose and eyes through a large-scale high-resolution 3D facial genetic study on the Han Chinese population. We observed that these nose-related loci were associated with different features of the nose, including nose prominence, nasion height, and nostril shape, which suggests the nose underlies precise genetic regulation. Intriguingly, we noted that genes (DCHS2 and SFRP2) related to one of these loci are differentially expressed in human and chimp cranial neural crest cells, which plays a crucial role in the early formation of facial morphology. The ongoing genetic studies of facial morphology will improve our understanding of human craniofacial development, and provide potential evolution evidence of human facial features.

Chinese Aesthetic Mask: Three Forehead and Five Eyes—Holistic Processing and Facial Attractiveness

Perception ◽  
2021 ◽  
pp. 030100662110155
Author(s):  
Jia Lin ◽  
Guomei Zhou
Keyword(s):  
Face Processing ◽  
Facial Attractiveness ◽  
Choice Task ◽  
Holistic Processing ◽  
Facial Features ◽  
Aesthetic Theory ◽  
Rating Task ◽  
Human Face ◽  
Configural Information ◽  
Forced Choice Task

Human face processing has been attributed to holistic processing. Here, we ask whether humans are sensitive to configural information when perceiving facial attractiveness. By referring to a traditional Chinese aesthetic theory—Three Forehead and Five Eyes—we generated a series of faces that differed in spacing between facial features. We adopted a two-alternative forced-choice task in Experiment 1 and a rating task in Experiment 2 to assess attractiveness. Both tasks showed a consistent result: The faces which fit the Chinese aesthetic theory were chosen or rated as most attractive. This effect of configural information on facial attractiveness was larger for faces with highly attractive features than for faces with low attractive features. These findings provide experimental evidence for the traditional Chinese aesthetic theory. This issue can be further explored from the perspective of culture in the future.

scholarly journals Which Facial Features Are Central in Impression Formation?

2021 ◽  
pp. 194855062110349
Author(s):  
Bastian Jaeger ◽  
Alex L. Jones
Keyword(s):  
Machine Learning ◽  
Social Perception ◽  
Impression Formation ◽  
Machine Learning Techniques ◽  
Emotional Expressions ◽  
Facial Features ◽  
Relative Importance ◽  
Height Ratio ◽  
Learning Techniques ◽  
Wide Range

Which facial characteristics do people rely on when forming personality impressions? Previous research has uncovered an array of facial features that influence people’s impressions. Even though some (classes of) features, such as resemblances to emotional expressions or facial width-to-height ratio (fWHR), play a central role in theories of social perception, their relative importance in impression formation remains unclear. Here, we model faces along a wide range of theoretically important dimensions and use machine learning techniques to test how well 28 features predict impressions of trustworthiness and dominance in a diverse set of 597 faces. In line with overgeneralization theory, emotion resemblances were most predictive of both traits. Other features that have received a lot of attention in the literature, such as fWHR, were relatively uninformative. Our results highlight the importance of modeling faces along a wide range of dimensions to elucidate their relative importance in impression formation.

Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition

2020 ◽  
Author(s):  
Tyler Reese ◽  
Pascal Bovet ◽  
Candice Choo-Kang ◽  
Kweku Bedu-Addo ◽  
Terrence Forrester ◽  
...  
Keyword(s):  
Body Size ◽  
Waist Circumference ◽  
Linear Regression ◽  
Roc Analysis ◽  
Overweight And Obesity ◽  
Epidemiological Transition ◽  
Height Ratio ◽  
The Usa ◽  
Different Populations ◽  
Waist To Height Ratio

Abstract Background: The Pulvers’ silhouette showcards provide a non-invasive, easy-to-use, and possibly cross-culturally acceptable way of assessing an individual’s perception of their body size. This study examined, in three different populations: 1) the relationship between silhouettes and body mass index (BMI), 2) the predictive performance of silhouettes to predict dichotomous adiposity categories, and 3) whether silhouette ranking performed similarly in predicting BMI, waist circumference (WC), and waist-to-height ratio (WHR). Methods: This study included 751 participants of African-origin from the United States of America (USA), the Republic of Seychelles, and Ghana, from the ongoing cohort Modeling the Epidemiological Transition Study. We assessed the mean BMI for each silhouette rank by country and sex and performed a least-squares linear regression for the silhouette’s performance by country and sex. The performance of the silhouettes to predict overweight and obesity (BMI ≥ 25 kg/m2), and obesity alone (BMI ≥ 30 kg/m2) was examined through a receiver operator curve (ROC) analysis with corresponding sensitivities and specificities. Finally, a ROC analysis area under the curve (AUC) was also performed for the detection of elevated waist circumference (men ≥ 94 cm; women ≥ 80 cm) and waist-to-height ratio (> 0.5) by country and sex.Results: Mean measured BMI (kg/m2) in men/women differed largely across countries: 28.9/35.8 in the USA, 28.3/30.5 in Seychelles, and 23.9/28.5 in Ghana. The slope of the relation between silhouette ranking and BMI (i.e., linear regression coefficient and 95% confidence intervals) was similar between sexes of the same country but differed between countries: 3.65 [95% CI: 3.34-3.97 BMI units/silhouette unit] in the USA, 3.23 [2.93-3.74] in Seychelles, and 1.99 [1.72-2.26] in Ghana. Different silhouette cut-offs predicted dichotomous adiposity categories differently in the three countries. For example, a silhouette ≥ 5 had sensitivity/specificity of 77.3%/90.6% to predict BMI ≥ 25 kg/m2 in the USA, but 77.8%/85.9% in Seychelles and 84.9%/71.4% in Ghana. Finally, silhouettes predicted BMI, WC, and WHR similarly, within each country and sex, based on Spearman correlations coefficients (continuous scale) and c-statistic (dichotomous classification).Conclusion: Our data suggest that Pulvers’ silhouette showcards can be a useful tool to objectively predict different adiposity measures in different populations when direct measurement cannot be performed. However, population-specific differences in the slopes of the associations, which possibly partly reflect differences in perceptions of one’s body size according to country adiposity prevalence, stress the need to calibrate silhouette showcards when using them as a survey tool.

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