We present a descriptor for human face objects in visual content. The descriptor enables similaritybased retrieval using a face image as the query. The descriptor for a set of face objects consists of three components: a face subspace that is computed using principal component analysis, a discriminant matrix that classifies the set of faces, and a collection of face vectors with each vector cor...

Face verification is considered to be the main part of the face detection system. To detect human faces in images, face candidates are extracted and face verification is performed. This paper proposes a new face verification algorithm using Quantum-inspired Evolutionary Algorithm (QEA). The proposed verification system is based on Principal Components Analysis (PCA). Although PCA related algori...

A method is described for video-based tracking and analysis of talking heads. Although dots on the face and head are tracked now, clean faces will be tracked once a satisfactory optical flow technique is found. The analysis consists of decomposing the head and face motion components into a common mode and the residual, thus eliminating the need for complex marker tracking and head correction of...

Craniofacial shape changes throughout the late prenatal and early postnatal ontogeny (32-47 weeks of gestational age) were explored. The purpose was to evaluate whether the skull follows an allometric growth pattern, as was observed in other ontogenetic periods, and to assess shape variation patterns for the cranial vault, cranial base, and face. Thirty three-dimensional landmarks were register...

In this chapter we present a system for face recognition that combines two recent advances in computer graphics and computer vision: 3D morphable models and component-based recognition. By fitting a morphable model to a triplet of face images we generate a 3D head model for each person in our face database. The 3D models are rendered under varying pose and illumination conditions to build a lar...

Biometric Authentication works on some human characteristics, such as, finger print, voice, pattern of lines in the iris of eye or face. I represent a multiple face detection method based on skin color information and the Lines of Separability (LS) face model and recognition method based on principle component analysis and neural network. Face detection method uses YCbCr color model and sigma c...

Analysing the face recognition rate of various current face recognition algorithms is absolutely critical in developing new robust algorithms. In his paper we report performance analysis of Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for face recognition. This analysis was carried out on various current PCA and LDA based face recognition algorithms using standard p...

The main aim of this study was to investigate the relationship of students' social capital components and entrepreneurship intention. The statistical population of this study consisted of all students of University College of Agriculture and Natural Resources, University of Tehran (N=2600) among which 155 students where accessed based on Cochran formula and through convenient sampling. Data wer...

The question whether the recognition of individual faces is mandatory or task-dependent is still controversial. We employed the N250r component of the event-related potential as a marker of the activation of representations of facial identity in visual memory, in order to find out whether identity-related information from faces is encoded and maintained even when facial identity is task-irrelev...

Standard Natural Classroom (SNC) is a real-time classroom based on smart space and design principles of e-learning, aiming at creating face-to-face, interactive and pervasive learning scene for students who are far from live classroom. We use various techniques in developing different kinds of components in SNC. Two components among them are specially described in this paper: E-pen and Emotion ...