Faces represent complex, multidimensional, meaningful visual stimuli. A real-time face recognition system has been implemented which is based on Artificial Neural Network. The system integrates three phases. At the initial phase, an image or a frame is grabbed from a real-time video source or webcam. Then the face region is detected using Local SMQT features and Split up SNoW Classifier and aft...

In this paper, we have presented a new face recognition algorithm based on region covariance matrix (RCM) descriptor computed in monogenic scale space. In the proposed model, energy information obtained using monogenic filter is used to represent a pixel at different scales to form region covariance matrix descriptor for each face image during training phase. An eigenvalue based distance measur...

This paper presents a prototype system, which synthesizes entertainment-oriented cartoon face and translates text message to multimedia animation in mobile phone. While a digital real facial photograph and some text are imputed, a piece of exaggerated facial animation with entertainment will be shown in the phone. Three steps are used to get this entertainment effect: first is the illustration ...

aim and background: self-assertiveness is one of the ten life skills and its achievement is necessary in order to have a good and favorable life. precise measurement of these features and decision-making are necessary to promote it; therefore, the present study aimed to construct and review the quality of psychometric assessment of self-assertiveness scale in students of isfahan university of m...

In this study, effects of self-esteem on self-faces recognition toward four types of faces were evaluated by eye movements tracking within a self-face recognition paradigm. Rosenberg’s Self-Esteem Scale (RSES) was used to assess self-esteem level of participants, high (n = 16) and low (n = 16) self-esteem undergraduates participated in it. Participants completed a self-face recognition task whe...

BACKGROUND Information on clinical acceptability is needed when making cost-utility decisions about health screening implementation. Despite being in use for two decades, most data on the clinical acceptability of the Edinburgh Postnatal Depression Scale (EPDS) come from qualitative reports, or include relatively small samples of depressed women. This study aimed to measure acceptability in a s...

Face recognition under varying lighting conditions is challenging, especially for single image based recognition system. Exacting illumination invariant features is an effective approach to solve this problem. However, existing methods are hard to extract both multi-scale and multi-directivity geometrical structures at the same time, which is important for capturing the intrinsic features of a ...

Sparse representation techniques for robust face recognition have been widely studied in the past several years. Recently face recognition with simultaneous misalignment, occlusion and other variations has achieved interesting results via robust alignment by sparse representation (RASR). In RASR, the best alignment of a testing sample is sought subject by subject in the database. However, such ...