One of the ways to demonstrate a caricature preference is to ask participants to adjust a face image over a range from anti-caricature to caricature until it shows the best likeness to a specific individual. Since facial adaptation, whereby exposure to a face influences subsequent perception of faces, is rapid, it is possible that adaptation promotes the selection of a caricatured image. We tes...

A novelty method of 2DGabor-KDA(kernel Fisher discriminant analysis) for face recognition is proposed. This involves convolving face images which are segmented into several sub-areas according to the five particular face parts are extracted through 2DGabor wavelet, average values are calculated from feature vectors gained from the corresponding pixel of each test sample and then the eigenvector...

Most of the face recognition works focus on specific modules or demonstrate a research idea. This paper presents a pose-invariant 3D-aided 2D face recognition system (UR2D) that is robust to pose variations as large as 90◦ by leveraging deep learning technology. The architecture and the interface of UR2D are described, and each module is introduced in detail. Extensive experiments are conducted...

A neural network based face recognition system is presented in this paper. The system consists of two main procedures. The first one is face features extraction using Pseudo Zernike Moments (PZM) and the second one is face classification using Radial Basis Function (RBF) neural network. In this paper, some new results on face recognition are presented. Simulation results indicate that PZM with ...

In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and matching process. In modern time the skill have enhanced face detection system into the vigorous focal point. Researcher’s currently undergoing strong research on finding face recogn...

We tested 4 people who claimed to have significantly better than ordinary face recognition ability. Exceptional ability was confirmed in each case. On two very different tests of face recognition, all 4 experimental subjects performed beyond the range of control subject performance. They also scored significantly better than average on a perceptual discrimination test with faces. This effect wa...

This paper introduces a new face recognition technique using Gabor Wavelet transform and Back propagation network. Face recognition being regarded as a fundamental technology of biometrics has been applied to a variety of areas, including computer vision and pattern recognition. In this proposed approach, the features of the query face image and database face images have been extracted using Ga...

The Synface project is developing a synthetic talking face to aid the hearing impaired in telephone conversation. This report investigates the gain in intelligibility from the synthetic talking head when controlled by hand-annotated speech. Audio from Swedish, English and Dutch sentences was degraded to simulate the information losses that arise in severe-to-profound hearing impairment. 12 norm...

background and aim: quick speech in noise (q-sin) test has popularity for evaluating speech recognition in noise. the present study has been paid to build five new persian lists with respect to all possible factors affecting the test, to determine validity of the test and to run five lists for normal hearing subjects and assessment of reliability. methods: to build lists, frequent, familiar and...

This paper presents a novel LDP based image descriptor which is more robust to temporal face changes. LDP is a framework to encode directional pattern based on local derivative variations, hence LDP is highly directional. However texture based features extracted globally tend to average over the image area. Hence this paper proposes to divide the face image into multiple regions and perform LDP...