نتایج جستجو برای: face validation

تعداد نتایج: 334953  

2001
Oliver Jesorsky Klaus J. Kirchberg Robert Frischholz

The localization of human faces in digital images is a fundamental step in the process of face recognition. This paper presents a shape comparison approach to achieve fast, accurate face detection that is robust to changes in illumination and background. The proposed method is edge-based and works on grayscale still images. The Hausdorff distance is used as a similarity measure between a genera...

2014
JJ Stunt PH Wulms GM Kerkhoffs J Dankelman CN van Dijk GJM Tuijthof

BACKGROUND Since simulators offer important advantages, they are increasingly used in medical education and medical skills training that require physical actions. A wide variety of simulators have become commercially available. It is of high importance that evidence is provided that training on these simulators can actually improve clinical performance on live patients. Therefore, the aim of th...

2002
Srinivas Gutta Vasanth Philomin Miroslav Trajkovic

Even though numerous techniques for face recognition have been explored over the years, most research has primarily focussed on identification from full frontal/profile facial images. This paper conducts a first systemic study to assess the performance when using partial-faces for identification. Our specific approach considers an ensemble of Radial Basis Function (RBF) Networks. A specific adv...

Journal: :IJSE 2013
Louise Lawrence Deborah Abdel Nabi

The BARTA (Bolton Affect Recognition Tri-Stimulus Approach) is a unique database comprising over 400 colour images of the universally recognised basic emotional expressions and is the first compilation to include three different classes of validated face stimuli; emoticon, computer-generated cartoon and photographs of human faces. The validated tri-stimulus collection (all images received ≥70% ...

2018
Charles F Jekel Raphael T. Haftka

A method to produce personalized classification models to automatically review online dating profiles on Tinder, based on the user’s historical preference, is proposed. The method takes advantage of a FaceNet facial classification model to extract features which may be related to facial attractiveness. The embeddings from a FaceNet model were used as the features to describe an individual’s fac...

2017
Scott P. Jones Dominic M. Dwyer Michael B. Lewis

The ability to recognize an unfamiliar individual on the basis of prior exposure to a photograph is notoriously poor and prone to errors, but recognition accuracy is improved when multiple photographs are available. In applied situations, when only limited real images are available (e.g., from a mugshot or CCTV image), the generation of new images might provide a technological prosthesis for ot...

2014
Laura Mirams Ellen Poliakoff Elizabeth H. Zandstra Marco Hoeksma Anna Thomas Wael El-Deredy Cheryl McCormick

Some people perceive themselves to look more, or less attractive than they are in reality. We investigated the role of emotions in enhancement and derogation effects; specifically, whether the propensity to experience positive and negative emotions affects how healthy we perceive our own face to look and how we judge ourselves against others. A psychophysical method was used to measure healthin...

2009
Zahid Riaz Christoph Mayer Matthias Wimmer Michael Beetz Bernd Radig

This paper describes an idea of recognizing the human face in the presence of strong facial expressions using model based approach. The features extracted for the face image sequences can be efficiently used for face recognition. The approach follows in 1) modeling an active appearance model (AAM) parameters for the face image, 2) using optical flow based temporal features for facial expression...

Journal: :trauma monthly 0
hadi khoshmohabat trauma research center, baqiyatallah university of medical sciences, tehran, ir iran hamid reza rasouli trauma research center, baqiyatallah university of medical sciences, tehran, ir iran zahra danial trauma research center, baqiyatallah university of medical sciences, tehran, ir iran mohammad reza ghane trauma research center, baqiyatallah university of medical sciences, tehran, ir iran; trauma research center, baqiyatallah university of medical sciences, tehran, ir iran. tel: +98-2188053766, fax: +98-2188053766

materials and methods the development of the trauma registry form began in february 2013. the variables were finalized by a team consisting of general and trauma surgeons, specialists in emergency medicine, orthopedists, neurosurgeons, and public health professionals who have special interest in trauma research. the scale was sent to 10 specialists for validation. results after assessing the sc...

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