A human skin color range is used to find the candidates by segmentation and the rules of fuzzy factor are established by using facial characteristics to determine whether the candidate is face or not. We have separated two connected faces. In this paper, after segmentation with skin color, facial components are used instead of facial features to build fuzzy factors for verifying face candidates...

Objective: to describe the results of face and content validation of the questionnaire entitled Quality Improvement Implementation Survey, and of two complementary scales as part of the adaptation process to the Brazilian language and culture. Method: included the following stages: (1) translation and synthesis of translations; (2) consideration by the expert committee; (3) back translation; ...

OBJECTIVE The aim of this study was to design and validate a questionnaire to measure perceived symptoms associated with antihypertensive drugs (PERSYVE). METHODS THE PERSYVE DEVELOPMENT AND VALIDATION INCLUDED FOUR STAGES: 1) item development (bibliographic review and questionnaire elaboration); 2) face and content validation; 3) field testing (pre-test); and 4) test-retest validation, asses...

Eye detection is an important initial step in an automatic face recognition system. Though numerous eye detection methods have been proposed, many problems still exist, especially in the detection accuracy and efficiency under challenging image conditions. The authors present a novel eye detection method using color information, Haar features, and a new efficient Support Vector Machine (eSVM) i...

BACKGROUND Understanding physicians' antibiotic-prescribing behaviour is fundamental when it comes to improving antibiotic use and tackling the growing rates of antimicrobial resistance. The aim of the study was to develop and validate--in terms of face validity, content validity and reliability--an instrument designed to assess the attitudes and knowledge underlying physician antibiotic prescr...

The Vanderbilt Holistic Face Processing Test (VHPT-F) is a new measure of holistic face processing with better psychometric properties relative to prior measures developed for group studies (Richler et al., 2014). In fields where psychologists study individual differences, validation studies are commonplace and the concurrent validity of a new measure is established by comparing it to an older ...

Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray levels for images of human faces. These models are trained using data bases of face and non-face images. The trained MRF models are then used for detecting human faces in test images. We investigate the performance of the face detection algorithm for two classes of MRFs given by the firstan...