A Stag-horn Head from Crete

1920 ◽  
Vol 40 (2) ◽  
pp. 174-179 ◽  
Author(s):  
E. J. Forsdyke
Keyword(s):  
British Museum ◽  
Human Face ◽  
Strict Interpretation ◽  
The Face ◽  
Round Base ◽  
Actual Size

The curious head which is illustrated, in actual size, on Plate VI., was bought by my colleague, Captain F. N. Pryce, and me from a well-known Greek dealer at Cairo in December 1918, and is now in the British Museum. It is carved in the beam of a stag's antler, the natural burr or coronet of the horn representing either a crown or curled, upstanding hair, while the longitudinal corrugations imitate hanging tresses. The smooth, round base of the shed antler very aptly resembles the top of a man's head (Fig. 1). All these features are unworked. The rest of the horn is carved in the shape of a human face wearing a full beard and turned-up moustaches. Across the forehead is a heavy ridged moulding, which runs into the edge of the beard on each side of the face. Whether this moulding represents the band of a headdress, or a ceremonial fillet, or the rim of a crown, or is simply a decorative device to help the transition from the projecting hair to the receding face, it is not possible to decide, for its details will not bear strict interpretation. The hair of eyebrows, moustache and beard is marked with close striations.

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.

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 Human Face Detection in Color Images

2021 ◽  
Author(s):  
Jun Gao
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Video Retrieval ◽  
Color Images ◽  
Human Face ◽  
Detection Scheme ◽  
Retrieval Systems ◽  
Human Face Detection ◽  
The Face ◽  
Video Retrieval Systems

Detection of human face has many realistic and important applications such as human and computer interface, face recognition, face image database management, security access control systems and content-based indexing video retrieval systems. In this report a face detection scheme will be presented. The scheme is designed to operate on color images. In the first stage of algorithm, the skin color regions are detected based on the chrominance information. A color segmentation stage is then employed to make skin color regions to be divided into smaller regions which have homogenous color. Then, we use the iterative luminance segmentation to further separate the detected skin region from other skin-colored objects such as hair, clothes, and wood, based on the high variance of the luminance component in the neighborhood of edges of objects. Post-processing is applied to determine whether skin color regions fit the face constrains on density of skin, size, shape and symmetry and contain the facial features such as eyes and mouths. Experimental results show that the algorithm is robust and is capable of detecting multiple faces in the presence of a complex background which contains the color similar to the skin tone.

scholarly journals A Practical Approach for Identity-Embodied 3D Artistic Face Modeling

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Tanasai Sucontphunt
Keyword(s):  
Real Time ◽  
Gpu Acceleration ◽  
Human Face ◽  
Human Identity ◽  
Face Modeling ◽  
Novice User ◽  
Face Model ◽  
The Face ◽  
Core Idea ◽  
Cartoon Characters

This paper describes a practical technique for 3D artistic face modeling where a human identity can be inserted into a 3D artistic face. This approach can automatically extract the human identity from a 3D human face model and then transfer it to a 3D artistic face model in a controllable manner. Its core idea is to construct a face geometry space and a face texture space based on a precollected 3D face dataset. Then, these spaces are used to extract and blend the face models together based on their facial identities and styles. This approach can enable a novice user to interactively generate various artistic faces quickly using a slider control. Also, it can run in real-time on an off-the-shelf computer without GPU acceleration. This approach can be broadly used in various 3D artistic face modeling applications such as a rapid creation of a cartoon crowd with different cartoon characters.

scholarly journals Transmitting and Decoding Facial Expressions

2005 ◽  
Vol 16 (3) ◽  
pp. 184-189 ◽  
Author(s):  
Marie L. Smith ◽  
Garrison W. Cottrell ◽  
FrédéAric Gosselin ◽  
Philippe G. Schyns
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Brain Structures ◽  
Human Face ◽  
The Face ◽  
The Brain

This article examines the human face as a transmitter of expression signals and the brain as a decoder of these expression signals. If the face has evolved to optimize transmission of such signals, the basic facial expressions should have minimal overlap in their information. If the brain has evolved to optimize categorization of expressions, it should be efficient with the information available from the transmitter for the task. In this article, we characterize the information underlying the recognition of the six basic facial expression signals and evaluate how efficiently each expression is decoded by the underlying brain structures.

scholarly journals Smart Door / COVID-19 Face Mask Detection

2021 ◽  
Vol 10 (9) ◽  
pp. 87-92
Author(s):  
Pavan Narayana A ◽  
◽  
Janardhan Guptha S ◽  
Deepak S ◽  
Pujith Sai P ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Open Source ◽  
Face Mask ◽  
Young Lady ◽  
Grayscale Image ◽  
Human Face ◽  
Happy Life ◽  
Public Areas ◽  
The Face ◽  
Human Faces

January 27 2020, a day that will be remembered by the Indian people for a few decades, where a deadly virus peeped into a life of a young lady and till now it has been so threatening as it took up the life of 3.26 lakh people just in India. With the start of the virus government has made mandatory to wear masks when we go out in to crowded or public areas such as markets, malls, private gatherings and etc. So, it will be difficult for a person in the entrance to check whether everyone one are entering with a mask, in this paper we have designed a smart door face mask detection to check whether who are wearing or not wearing mask. By using different technologies such as Open CV, MTCNN, CNN, IFTTT, ThingSpeak we have designed this face mask detection. We use python to program the code. MTCNN using Viola- Jones algorithm detects the human faces present in the screen The Viola-Jones algorithm first detects the face on the grayscale image and then finds the location on the colored image. In this algorithm MTCNN first detects the face in grayscale image locates it and then finds this location on colored image. CNN for detecting masks in the human face is constructed using sample datasets and MobileNetV2 which acts as an object detector in our case the object is mask. ThingSpeak is an open-source Internet of things application used to display the information we get form the smart door. This deployed application can also detect when people are moving. So, with this face mask detection, as a part to stop the spread of the virus, we ensure that with this smart door we can prevent the virus from spreading and can regain our happy life.

Face and Eye Detection

2011 ◽  
pp. 5-44 ◽  
Author(s):  
Daijin Kim ◽  
Jaewon Sung
Keyword(s):  
Face Detection ◽  
Facial Expression Recognition ◽  
Face Image ◽  
Face Tracking ◽  
Expression Recognition ◽  
Human Face ◽  
Eye Detection ◽  
Face Image Analysis ◽  
Face Images ◽  
The Face

Face detection is the most fundamental step for the research on image-based automated face analysis such as face tracking, face recognition, face authentication, facial expression recognition and facial gesture recognition. When a novel face image is given we must know where the face is located, and how large the scale is to limit our concern to the face patch in the image and normalize the scale and orientation of the face patch. Usually, the face detection results are not stable; the scale of the detected face rectangle can be larger or smaller than that of the real face in the image. Therefore, many researchers use eye detectors to obtain stable normalized face images. Because the eyes have salient patterns in the human face image, they can be located stably and used for face image normalization. The eye detection becomes more important when we want to apply model-based face image analysis approaches.

A Fragment of an Ivory Statue at the British Museum

1917 ◽  
Vol 37 ◽  
pp. 17-18
Author(s):  
W. R. Lethaby
Keyword(s):  
British Museum ◽  
The Face

About three years ago I sent some slight notes on chryselephantine sculpture to the Journal, but withdrew them again for expansion. In the main they were intended to bring out the value, as evidence of the methods used in working ivory for statues, of a small ivory mask in the British Museum. The article by Signor Carlo Albizzati on an ivory mask in the Vatican, published in the last part of the Journal, offers a new occasion for calling attention to the London fragment. In the ‘Guide to the Second Vase Room’ by Newton and Murray (Part I. 1878) it was described thus: ‘No. 15, Part of a Mask. The forehead, cheeks, chin, and nose cut off with smooth joints; the sockets of the eyes empty: the base of the nose is broad, and the lips full and prominent, as in the Egyptian type; inside the nostrils are the remains of vermilion. The mask has probably been completed with other carvings fitted on at the joints and with eyes in some other material. Height 3½ inches. Bequeathed by Sir Wm. Temple.’ The wording of this suggests that the fragment was supposed to be a part of some ornamental composition, but it will not now be doubted, I believe, that it is a part of a head in the round which was made up of several pieces. Our fragment—the central part of the face—had next to it two side pieces to complete the cheeks and another for the chin.

A Algorithm of Three-Dimensional Human Face Pose Correction Based on the Normal Vector Alignment

2013 ◽  
Vol 734-737 ◽  
pp. 2855-2858
Author(s):  
De Wei Zhang
Keyword(s):  
Three Dimensional ◽  
Normal Direction ◽  
Normal Vector ◽  
Alignment Algorithm ◽  
Feature Points ◽  
Human Face ◽  
A Algorithm ◽  
Correction Effect ◽  
The Face ◽  
Vector Direction

In this paper, we present an approach of three-dimensional human face pose correction with the normal vector alignment algorithm. We detect three feature points on a human face through calculating discrete Gaussian curvature. Then we calculate the three feature points plane of the normal direction. The face pose is corrected from the normal vector direction. This method is small amount of calculation and wide applicability. The experimental results show that the correction effect is good.

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