scholarly journals Face-likeness and image variability drive responses in human face-selective ventral regions

2011 ◽  
Vol 33 (10) ◽  
pp. 2334-2349 ◽  
Author(s):  
Nicolas Davidenko ◽  
David A. Remus ◽  
Kalanit Grill-Spector
Keyword(s):  
Human Face ◽  
Image Variability

Newborn's Preference for Faces

1996 ◽  
Vol 1 (3) ◽  
pp. 200-205 ◽  
Author(s):  
Carlo Umiltà ◽  
Francesca Simion ◽  
Eloisa Valenza
Keyword(s):  
Visual System ◽  
Structural Properties ◽  
Sensory Properties ◽  
Human Face ◽  
System Experiment ◽  
Face Experiment

Four experiments were aimed at elucidating some aspects of the preference for facelike patterns in newborns. Experiment 1 showed a preference for a stimulus whose components were located in the correct arrangement for a human face. Experiment 2 showed a preference for stimuli that had optimal sensory properties for the newborn visual system. Experiment 3 showed that babies directed their attention to a facelike pattern even when it was presented simultaneously with a non-facelike stimulus with optimal sensory properties. Experiment 4 showed the preference for facelike patterns in the temporal hemifield but not in the nasal hemifield. It was concluded that newborns' preference for facelike patterns reflects the activity of a subcortical system which is sensitive to the structural properties of the stimulus.

Locating and Extracting Human Face in a Cluttered Scene by using Genetic Search

1998 ◽  
Vol 118 (5) ◽  
pp. 727-736
Author(s):  
Hertog Nugroho ◽  
Shigeyoshi Takahashi ◽  
Yoshiteru Ooi ◽  
Shinji Ozawa
Keyword(s):  
Human Face ◽  
Genetic Search

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.

A Review of Different Techniques of Age Estimation from Human Face

2018 ◽  
Vol 4 (10) ◽  
pp. 6
Author(s):  
Khemchandra Patel ◽  
Dr. Kamlesh Namdev
Keyword(s):  
Age Estimation ◽  
Real Life ◽  
Extraction Methods ◽  
Human Face ◽  
Age Changes ◽  
Missing Children ◽  
Different Types ◽  
Age Variation ◽  
Human Faces ◽  
Facial Age

Age changes cause major variations in the appearance of human faces. Due to many lifestyle factors, it is difficult to precisely predict how individuals may look with advancing years or how they looked with "retreating" years. This paper is a review of age variation methods and techniques, which is useful to capture wanted fugitives, finding missing children, updating employee databases, enhance powerful visual effect in film, television, gaming field. Currently there are many different methods available for age variation. Each has their own advantages and purpose. Because of its real life applications, researchers have shown great interest in automatic facial age estimation. In this paper, different age variation methods with their prospects are reviewed. This paper highlights latest methodologies and feature extraction methods used by researchers to estimate age. Different types of classifiers used in this domain have also been discussed.

Selfi es

2018 ◽  
Vol 2018 (1) ◽  
pp. 83-96
Author(s):  
Ramon Reichert
Keyword(s):  
Present Article ◽  
Digital Communication ◽  
Role Expectations ◽  
Digital Culture ◽  
Final Part ◽  
Human Face ◽  
History Of ◽  
The Media ◽  
Front Stage

The history of the human face is the history of its social coding and the media- conditions of its appearance. The best way to explain the »selfie«-practices of today’s digital culture is to understand such practices as both participative and commercialized cultural techniques that allow their users to fashion their selves in ways they consider relevant for their identities as individuals. Whereas they may put their image of themselves front stage with their selfies, such images for being socially shared have to match determinate role-expectations, body-norms and ideals of beauty. Against this backdrop, collectively shared repertoires of images of normalized subjectivity have developed and leave their mark on the culture of digital communication. In the critical and reflexive discourses that surround the exigencies of auto-medial self-thematization we find reactions that are critical of self-representation as such, and we find strategies of de-subjectification with reflexive awareness of their media conditions. Both strands of critical reactions however remain ambivalent as reactions of protest. The final part of the present article focuses on inter-discourses, in particular discourses that construe the phenomenon of selfies thoroughly as an expression of juvenile narcissism. The author shows how this commonly accepted reading which has precedents in the history of pictorial art reproduces resentment against women and tends to stylize adolescent persons into a homogenous »generation« lost in self-love

Putting a human face on animal testing

2002 ◽  
pp. 22-23
Author(s):  
Bill Parry
Keyword(s):  
Human Face ◽  
Animal Testing

Human face shape classification method based on active shape model

2009 ◽  
Vol 29 (10) ◽  
pp. 2710-2712 ◽  
Author(s):  
Li-qiang DU ◽  
Peng JIA ◽  
Zong-tan ZHOU ◽  
De-wen HU
Keyword(s):  
Classification Method ◽  
Active Shape Model ◽  
Shape Classification ◽  
Human Face ◽  
Shape Model ◽  
Face Shape ◽  
Active Shape
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