scholarly journals Accuracy of the interpersonal perception by human face in a communicative situation

2019 ◽  
Vol 12 (2) ◽  
pp. 8-15
Author(s):  
K.I. Ananyeva ◽  
N.O. Tovuu
Keyword(s):  
Personal Characteristics ◽  
Morphological Type ◽  
Interpersonal Perception ◽  
Human Face ◽  
Facial Image ◽  
Joint Decision ◽  
Two Samples ◽  
Region Of Residence ◽  
The Face ◽  
Study Participants

We studied the adequacy of the assessment of personal characteristics in the perception of people of different races (Caucasoid and Mongoloid) in situations of individual and joint decision making. The study involved two samples of subjects, residents of Moscow and Kyzyl (Republic of Tyva). The adequacy of assessing the personal characteristics of the sitters was analyzed using the values received from the scales of the “Personal Differential” questionnaire. The grouping variables were the region of residence of study participants and the morphological type of the face of the sitter. It is shown that the adequacy of assessing personality based on face perception is selective, and the possibility of discussing one’s own impressions with a partner can be both a resource and a hindrance to the adequacy of judgments about a personality based on a facial image.

Improved Face Recognition With Fractal-Based Texture Analysis

2021 ◽  
Vol 11 (3) ◽  
pp. 41-53
Author(s):  
Rajalaxmi Padhy ◽  
Aishwarya Dash ◽  
Sanjit Kumar Dash ◽  
Jibitesh Mishra
Keyword(s):  
The Self ◽  
Human Vision ◽  
Svm Classifier ◽  
Human Face ◽  
Facial Image ◽  
Processing Stage ◽  
Proposed Model ◽  
The Face ◽  
System Maps ◽  
Self Similar

Fractals are useful to uniquely represent texture in the human face, which serves as an equivalent of human vision. FaceNet, calculating face descriptors of a person, has been observed to perform with setbacks when several factors of occlusion are present. This paper proposes a new methodology that exploits the self-similar patterns in a person's face to highlight and enhance regions of high texture in a facial image. The system maps the original image into a representation in the pre-processing stage of computer vision. This representation when fed as an input to the FaceNet CNN optimizes the face embedding generated. An SVM classifier separates the hard positive examples from the hard negative examples during classification. The model is trained using YouTube Faces DB as primary dataset and for validation; a custom dataset is designed to verify a person's identity despite the presence of secondary factors such as expressions and forgery. The proposed model attained an overall accuracy of 96.73% with the YouTube Faces DB, and a notable reduction in the false positive rates is observed.

scholarly journals The specificity of interpersonal perception in terms of presentation of the image of a whole face and a «split face» on the example of perception of pictorial portraits

2015 ◽  
Vol 8 (4) ◽  
pp. 120-133 ◽  
Author(s):  
E.A. Lupenko
Keyword(s):  
Experimental Data ◽  
Interpersonal Perception ◽  
Stimulus Material ◽  
Psychological Characteristics ◽  
Human Face ◽  
The Face ◽  
Left And Right ◽  
The Right ◽  
Split Face

The article presents a study of the specificity of perception of expression of the whole and fragmented (divided into left and right half) face made on the example of the perception of pictorial portraits. The data obtained in the study are fully consistent with previously obtained results of the similar study of perception of facsimiles (Artemtseva, 2003, Barabanschikov, Boldyrev, 2007; Barabanschikov, Zhegallo, 2013). The right and the left side of the face and the image of a whole face have their own expressive potential, which is reflected in the use by observer of different individual psychological characteristics in their description. The expression of a whole face often has a contradictory character with overly intensified emotions and is not a simple sum of the characteristics that are used in the description of the right and left halves of the face. Thus, perception of expression of a whole face and of a “split face” brings up several different patterns of personality. The similarity of the experimental data, obtained at different stimulus material (portraits and images), speaks about the invariance of perception of human face, regardless of the method of its representation.

Human Face Responses in the Rorschach Test

2012 ◽  
Vol 33 (1) ◽  
pp. 23-48 ◽  
Author(s):  
Yifat Weinberger ◽  
Anne Andronikof
Keyword(s):  
Clinical Significance ◽  
Face Perception ◽  
Reference Sample ◽  
Interpersonal Perception ◽  
Psychological Development ◽  
Background Information ◽  
Human Face ◽  
Rorschach Test ◽  
The Face ◽  
Perceptual Characteristics

The present study explores the human face responses in the Rorschach test. We suggest that, although the experience of the human face is essential to our psychological development and to our interaction with the world, this category of responses has always been considered as one of the partial human contents, together with responses such as an eye or a finger. The study provides background information about recent research findings concerning face perception and the role of face perception in early psychological development and suggests that Rorschach face responses may be better distinguished from other human detail contents and may have a special clinical significance. In order to explore face responses in the Rorschach, these responses were analyzed in a reference sample of nonpatients (n = 247) conducted in France as part of a of the French-language normative project. Descriptive data on face responses according to the Comprehensive System are provided as well as an analysis of their perceptual characteristics. In addition, a subgroup of nonpatients giving a relatively high number of face responses was found to differ from other nonpatients on several self and interpersonal perception variables. The perceptual features and the possible clinical significance of face responses on the Rorschach are discussed with an emphasis on the possible merit of distinguishing the face category from the other human content details.

scholarly journals Emotion Recognition - the need for a complete analysis of the phenomenon of expression formation

2018 ◽  
Vol 26 ◽  
pp. 00013
Author(s):  
Katarzyna Bobkowska ◽  
Marek Przyborski ◽  
Dariusz Skorupka
Keyword(s):  
High Speed ◽  
Pair Correlation ◽  
Correlation Coefficients ◽  
Complete Analysis ◽  
Human Face ◽  
Facial Image ◽  
Maximum Change ◽  
Complex Emotions ◽  
The Face ◽  
Micro Expression

This article shows how complex emotions are. This has been proven by the analysis of the changes that occur on the face. The authors present the problem of image analysis for the purpose of identifying emotions. In addition, they point out the importance of recording the phenomenon of the development of emotions on the human face with the use of high-speed cameras, which allows the detection of micro expression. The work that was prepared for this article was based on analyzing the parallax pair correlation coefficients for specific faces. In the article authors proposed to divide the facial image into 8 characteristic segments. With this approach, it was confirmed that at different moments of emotion the pace of expression and the maximum change characteristic of a particular emotion, for each part of the face is different.

scholarly journals FACE RECOGNITION THROUGH CASCADE CLASSIFIER USING EIGENFACES ALGORITHMS.

2020 ◽  
Vol 9 (6) ◽  
pp. 39-47
Keyword(s):  
Face Recognition ◽  
Dimensional Space ◽  
Principal Component ◽  
Face Image ◽  
Human Face ◽  
Cascade Classifier ◽  
Facial Image ◽  
Human Face Recognition ◽  
Cascade Classifiers ◽  
The Face

The easiest way to distinguish each person's identity is through the face. Face recognition is included as an inevitable pre-processing step for face recognition. Face recognition itself has to face difficulties and challenges because sometimes some form of issue is quite different from human face recognition. There are two stages used for the human face recognition process, i.e. face detection, where this process is very fast in humans. In the first phase, the person stored the face image in the database from a different angle. The person's face image storage with the help of Eigenvector value depended on components - face coordinates, face index, face angles, eyes, nose, lips, and mouth within certain distances and positions with each other. There are two types of methods that are popular in currently developed face recognition patterns, the Cascade Classifier method and the Eigenface Algorithm. Facial image recognition The Eigenface method is based on the lack of dimensional space of the face, using principal component analysis for facial features. The main purpose of the use of cascade classifiers on facial recognition using the Eigenface Algorithm was made by finding the eigenvectors corresponding to the largest eigenvalues of the facial image

Conventions and temporal differences in painted faces: A study of posture and color distribution

2020 ◽  
Vol 2020 (11) ◽  
pp. 267-1-267-8
Author(s):  
Mitchell J.P. van Zuijlen ◽  
Sylvia C. Pont ◽  
Maarten W.A. Wijntjes
Keyword(s):  
Scientific Community ◽  
Human Face ◽  
Art Galleries ◽  
Art Collections ◽  
Color Distribution ◽  
Scientific Domain ◽  
The Face ◽  
And Gender ◽  
Changes Over Time ◽  
Over Time

The human face is a popular motif in art and depictions of faces can be found throughout history in nearly every culture. Artists have mastered the depiction of faces after employing careful experimentation using the relatively limited means of paints and oils. Many of the results of these experimentations are now available to the scientific domain due to the digitization of large art collections. In this paper we study the depiction of the face throughout history. We used an automated facial detection network to detect a set of 11,659 faces in 15,534 predominately western artworks, from 6 international, digitized art galleries. We analyzed the pose and color of these faces and related those to changes over time and gender differences. We find a number of previously known conventions, such as the convention of depicting the left cheek for females and vice versa for males, as well as unknown conventions, such as the convention of females to be depicted looking slightly down. Our set of faces will be released to the scientific community for further study.

Real Time Person Recognition and Attendance Marking Using Holistic Based Approach

2017 ◽  
Vol 7 (7) ◽  
pp. 302
Author(s):  
Reshma P ◽  
Muneer VK ◽  
Muhammed Ilyas P
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
High Accuracy ◽  
Efficient Technique ◽  
Human Face ◽  
Traditional Methods ◽  
Person Recognition ◽  
The Face

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.

The Usage of Evidence-Based Dentistry among Postgraduate Student of Isfahan University of Medical Sciences

2021 ◽  
Author(s):  
Firoozeh Nilchian ◽  
Reza Rezaee
Keyword(s):  
Personal Characteristics ◽  
Evidence Based ◽  
Medical Sciences ◽  
Clinical Teachers ◽  
Good Opportunity ◽  
Distribution Of Resources ◽  
Information Exploration ◽  
Study Participants ◽  
Based Medicine ◽  
Evidence Based Dentistry

Introduction: Our current era is the age of information exploration and innovation that has given us a good opportunity to use evidence-based information, so this study aimed to evaluate the use of Evidence-Based Dentistry in Isfahan Dental School in 2018. Materials & Methods: The sampling method of this study was census and, the number of faculty assistants was 50. The method of collecting this information was through a questionnaire Regarding fulfillment of ethical manners in this study, participants were not required to mention their names and personal characteristics, and only if they consented participate in the study, a questionnaire was provided to them. Man withny analysis and Spear man correlation were used to evaluate the relation between EBD (Evidence Based Dentistry) according to their gender. Results: In the current evaluation, it was observed that 19 dentists (36.5%) were female and 33 (63.5%) were male. Most residents (63.5%) sometimes use evidence-based dentistry, 11 cases (21.2%) rarely and 8 cases (15.3%) using this technique always. About the frequency distribution of resources used by residents to answer questions in dealing with patients, the highest frequency (65.4%) was related to “textbooks or questions from clinical teachers” as well as “translated reference books” and the least Frequency (13.5%) was related to “Search other databases”. Conclusion: Based on the findings in this section, the use of evidence-based medicine among residents is low.

scholarly journals Response to Melissa Raphael

2016 ◽  
Vol 6 (2) ◽  
pp. 23-25
Author(s):  
Ruth Illman
Keyword(s):  
Digital Media ◽  
Image Of God ◽  
Human Face ◽  
Human Beings ◽  
Jewish Art ◽  
Contemporary Issue ◽  
The Face ◽  
The Creation ◽  
The Image Of God ◽  
Ethical Demand

A response to Melissa Raphael’s article ‘The creation of beauty by its destruction: the idoloclastic aesthetic in modern and contemporary Jewish art’. Key themes discussed include the notion of human beings as created in the image of God, Levinas’s understanding of the face and its ethical demand as well as the contemporary issue of the commodification of the human face in digital media.

scholarly journals A COMPARISON BETWEEN UNDERGRADUATE POLYTECHNIC AND MEDICAL EDUCATION SYSTEMS IN ROMANIA

2017 ◽  
Vol 5 ◽  
pp. 746-750
Author(s):  
Liana Dehelean ◽  
Ana Maria Romosan ◽  
Petru Papazian ◽  
Mircea Babaita
Keyword(s):  
Medical Students ◽  
Professional Training ◽  
Teaching Staff ◽  
Education Systems ◽  
Job Opportunities ◽  
Two Samples ◽  
Medical Undergraduates ◽  
Study Participants ◽  
Career Preferences ◽  
Medical Perspective

Background: While medical and polytechnic education systems seem dissimilar in approach, they both share a certain level of difficulty. After graduating, polytechnic students find easy employment in national or multinational companies, whereas medical students are presented with more job opportunities abroad. The purpose of the study was to compare students’ satisfaction with training and career preferences from a technical and a medical perspective. The methods were as follows: the study participants were divided in two samples (polytechnic and medical undergraduates) and asked to fill in a satisfaction questionnaire regarding their professional training. In addition, they were invited to express options about the intended future career. Results: we found no differences between the two samples regarding the participants’ satisfaction with teaching staff and labs. Polytechnic students have more Ph.D. opportunities while medical students were more involved with participation in conferences. Satisfaction with lectures and practical projects was significantly higher among medical students. Conclusions: Both polytechnic and medical students rate their training as satisfying, and half of them consider leaving the country.

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