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.

Vision-Based Human Face Recognition Using Extended Principal Component Analysis

2013 ◽  
Vol 5 (4) ◽  
pp. 82-94 ◽  
Author(s):  
A. F. M. Saifuddin Saif ◽  
Anton Satria Prabuwono ◽  
Zainal Rasyid Mahayuddin ◽  
Teddy Mantoro
Keyword(s):  
Principal Component Analysis ◽  
Face Recognition ◽  
Principal Component ◽  
Component Analysis ◽  
Personal Identification ◽  
Human Face ◽  
Analysis Model ◽  
Human Face Recognition ◽  
Proposed Model ◽  
The Face

Face recognition has been used in various applications where personal identification is required. Other methods of person's identification and verification such as iris scan and finger print scan require high quality and costly equipment. The objective of this research is to present an extended principal component analysis model to recognize a person by comparing the characteristics of the face to those of new individuals for different dimension of face image. The main focus of this research is on frontal two dimensional images that are taken in a controlled environment i.e. the illumination and the background is constant. This research requires a normal camera giving a 2-D frontal image of the person that will be used for the process of the human face recognition. An Extended Principal Component Analysis (EPCA) technique has been used in the proposed model of face recognition. Based on the experimental results it is expected that proposed the EPCA performs well for different face images when a huge number of training images increases computation complexity in the database.

Faces of the Self

2019 ◽  
Vol 5 (2) ◽  
pp. 249-274
Author(s):  
Vanita Seth
Keyword(s):  
Nineteenth Century ◽  
Muslim Woman ◽  
The Self ◽  
The Novel ◽  
Human Face ◽  
The Face ◽  
Political Conditions ◽  
The Individual

AbstractThis paper traces the centrality of the human face in the construction of modern individuality. It argues that the face of individuality no less than that of typology, is mired in and born of historical and political conditions that are subsequently disavowed in order that the individual (and the face she bears) is rendered a product of nature, an instantiation of the universal. Attempting to denaturalize and defamiliarize the authority invested in the face, this paper maps out three interrelated arguments: that the human face is historically produced; that its history is closely tethered to the production of modern subjectivity, and that its status as a purveyor of meaning relies upon the reiteration of preexisting norms through which it can be “read.” And yet, while this paper turns to the nineteenth century to trace the novel privileging of the face as an extension of selfhood, interwoven through this history is the figure of the “effaced” Muslim woman and the Muslim terrorist type.

Severe Morbid Onychophagia: The Classification as Self-Mutilation and a Proposed Model of Maintenance

1998 ◽  
Vol 32 (4) ◽  
pp. 534-545 ◽  
Author(s):  
Jennifer H. Wells ◽  
Janet Haines ◽  
Christopher L. Williams
Keyword(s):  
Severe Form ◽  
The Self ◽  
Tension Reduction ◽  
Reduction Model ◽  
Self Injury ◽  
Self Mutilation ◽  
Proposed Model ◽  
The Face ◽  
The Common ◽  
Physical Consequences

Objectives: The aim of this review is to make a distinction between a mild and a severe form of onychophagia (nailbiting) that has not been adequately recognised in clinical research. Furthermore, the aim is to emphasise the need for greater under standing of the motivation for such self-injury as occurs in the severe form. The purpose of making the distinction is to evaluate whether a label of self-mutilation can be applied to the severe form. If this is the case, the tension-reduction model of self-mutilation can be proposed as the mechanism which may maintain the behaviour in the face of serious social and physical consequences. Method: Examination was made of the literature relating to onychophagia and to self-mutilation. Treatment studies of onychophagia were examined to evaluate the mechanisms by which the behaviour may be maintained. Results: Considering the self-mutilative nature of the severe form and the common theme of tension reduction in the literature on onychophagia, application of the tension-reduction model of self-mutilation is warranted. Conclusion: There is a need for empirical research as to the tension-reducing nature of severe onychophagia.

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 Self-Similar Functional Circuit Models of Arteries and Deterministic Fractal Operators: Theoretical Revelation for Biomimetic Materials

2021 ◽  
Vol 22 (23) ◽  
pp. 12897
Author(s):  
Gang Peng ◽  
Jianqiao Guo ◽  
Yajun Yin
Keyword(s):  
Blood Flow ◽  
Circuit Model ◽  
The Self ◽  
Regulation Mechanism ◽  
Biomimetic Materials ◽  
Proposed Model ◽  
Theoretical Mechanism ◽  
Self Similar ◽  
Electrical Components

In this paper, the self-similar functional circuit models of arteries are proposed for bioinspired hemodynamic materials design. Based on the mechanical-electrical analogous method, the circuit model can be utilized to mimic the blood flow of arteries. The theoretical mechanism to quantitatively simulate realistic blood flow is developed by establishing a fractal circuit network with an infinite number of electrical components. We have found that the fractal admittance operator obtained from the minimum repeating unit of the fractal circuit can simply and directly determine the blood-flow regulation mechanism. Furthermore, according to the operator algebra, the fractal admittance operator on the aorta can be represented by Gaussian-type convolution kernel function. Similarly, the arteriolar operator can be described by Bessel-type function. Moreover, by the self-similar assembly pattern of the proposed model, biomimetic materials which contain self-similar circuits can be designed to mimic physiological or pathological states of blood flow. Studies show that the self-similar functional circuit model can efficiently describe the blood flow and provide an available and convenient structural theoretical revelation for the preparation of in vitro hemodynamic bionic materials.

scholarly journals Mood Sensing using Facial Landmarks

2019 ◽  
Vol 8 (5S3) ◽  
pp. 1-4
Keyword(s):  
Input Image ◽  
Pivotal Role ◽  
Svm Classifier ◽  
Local Models ◽  
Human Face ◽  
Remarkable Increase ◽  
Lighting Conditions ◽  
Illumination Changes ◽  
The Face ◽  
Mood Sensing

Communication plays a pivotal role in every person’s life.There are various types of communications in which some are verbal and some are non-verbal. Expressions on a person’s face are a type of non-verbal communication.Expressions on the face can be used to define how the person is feeling, recognizing them helps to enhance the human-machine interaction.Thus we propose a system that is un-affected by the illumination changes or the light changes. Expressions on the human face can be computed by using CLM,constrained local models inserts a dense model to a new input image to get the emotions stats .SVM classifier is used to distinguish the input image into different emotion categories. Results showed a remarkable increase in efficiency and performance.Change in lighting conditions will have a very little effect on the efficiency of the system.

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

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.

scholarly journals On Muzzles and Faces: The Semiotic Limits of Visage and Personhood

2021 ◽  
Author(s):  
Massimo Leone
Keyword(s):  
Point Of View ◽  
The Self ◽  
Human Face ◽  
Human Species ◽  
Self Identity ◽  
European Languages ◽  
The Face ◽  
Philosophical Texts ◽  
The One ◽  
The Sacrifice

AbstractThe essay investigates the anthropological concept of personhood from the point of view of the dialectics between two fundamental elements of the socio-cultural, linguistic, and semiotic construction of the self-identity of the human species: on the one hand, the human face and, on the other, the non-human muzzle. After demonstrating that their semantics is contrastively articulated in all Indo-European languages, and after showing that such contrast is featured also in several non-Indo-European languages, including those referring to supposedly alternative “ontologies of nature”, the essay criticizes such opposition through a close reading of Lévinas, Deleuze and Guattari, and Derrida’s philosophical texts on the face and on animality. Ultimately, it proposes that the construction of the animal muzzle as an interface of non-personhood is instrumental to the substitution of the human victim in the sacrifice that establishes the human community. Only through eradicating the primordial stigmatization of the muzzle, however, will a non-violent foundation of human personhood and community be possible.

Power of Darkness: Narrative and Biographical Reflexivity in A Series of Unfortunate Events

2008 ◽  
Vol 1 (2) ◽  
pp. 200-212
Author(s):  
ELIZABETH BULLEN
Keyword(s):  
The Self ◽  
Risk Society ◽  
Project Risk ◽  
Young Readers ◽  
The World ◽  
The Face ◽  
High Earning ◽  
Textual Culture ◽  
Children’S Exposure ◽  
Central Claim

This paper investigates the high-earning children's series, A Series of Unfortunate Events, in relation to the skills young people require to survive and thrive in what Ulrich Beck calls risk society. Children's textual culture has been traditionally informed by assumptions about childhood happiness and the need to reassure young readers that the world is safe. The genre is consequently vexed by adult anxiety about children's exposure to certain kinds of knowledge. This paper discusses the implications of the representation of adversity in the Lemony Snicket series via its subversions of the conventions of children's fiction and metafictional strategies. Its central claim is that the self-consciousness or self-reflexivity of A Series of Unfortunate Events} models one of the forms of reflexivity children need to be resilient in the face of adversity and to empower them to undertake the biographical project risk society requires of them.

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