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The purpose of this research is to recognize The Human faces by analyzing the brain waves, detected by EEG, of subject. Initially, a subject looked at an image of human face until the subject remembered the facial features of the face. Then we carried out the EEG experiment. Each face used in the experiment was divided into three regions: eyes, nose and mouth, and two other faces were randomly selected...
Social signal processing has the ambitious goal of bridging the social intelligence gap between computers and humans. Nowadays, computers are not only the new interaction partners of humans, but also a privileged interaction medium for social exchange between humans. Consequently, enhancing machine abilities to interpret and reproduce social signals is a crucial requirement for improving computer-mediated...
Real-time rendering of large animated crowds consisting thousands of virtual humans is important for several applications including simulations, games and interactive walkthroughs, but cannot be performed using complex polygonal models at interactive frame rates. For that reason, several methods using large numbers of pre-computed image-based representations, which are called as impostors, have been...
The most basic function of a symbol is cognition and communication, and the symbol element that can be sensed is an important carrier of people's mental communication. Therefore, this paper discusses how common punctuation can transmit emotion and exchange ideas in the network, combining with the expression design of punctuation to explain and reveal the use of punctuation in the network language.
3D face reconstruction is a research hotspot in computer animation, computer games, computer vision, and image recognition fields in recent years. It can enhance the virtual reality experience. In this paper, the approach of 3D face reconstruction from one image is introduced. First, the multiple transformation modeling technique is used to construct a human face grid, which can be adjusted. Secondly,...
In this paper, we describe VocaWatcher, a novel robot motion generator that enables a humanoid robot to sing with realistic facial expressions and naturally synthesized singing voices. This robot singer is an important and attractive humanoid robot application for the entertainment scene; moreover, it promotes state-of-the-art integration of robot engineering, music processing, and image processing...
Various approaches have been utilized in the overall study of facial expressions. And while the results of such research have been reported, little is known about the actual mechanism of how facial expressions are formed. Ishida et al. studied the facial expression of drowsiness. In their study, they discovered that contraction of the frontal is muscle raises the eyebrows when a person is sleepy....
In this paper, the BP neural network improved by the genetic algorithm (GA) is applied to the problem of human face detection. GA is used to optimize the initial weights of the BP neural network to make full use of its global optimization and local accurate searching of the BP algorithm. Matlab Software and its neural network toolbox are used to simulate and compute. The experiment results show that...
The process of automatic identification or verification of the human face is a very interesting problem in both sociology and industry. The way of gathering biometric information is non intrusive and easy to perform. Systems that can scan faces in big public places like the airport in search of the offender's face are becoming more and more popular. This paper studies the use of the modified Toeplitz...
In this paper we propose a new method for 3D facial expression recognition. We make use of the Zernike moments, which are calculated in the depth image of a 3D facial point cloud. Combining, the Zernike moments along with the 3D point clouds and the depth images, we succeed in tackling problems arising in facial expression recognition due to affine transformations of the data, such as translation,...
We propose a bilateral symmetry Gabor Wavelet Network (BSGWN) for face modeling and online tracking. Bilateral symmetry wavelet pairs reduce the computational complexity of the BSGWN optimization and yield robust tracking performance in real world environments. We decompose face image into a set of frequency components. The face model of Gabor wavelets is built on the reconstructed image from corresponding...
A new computational scheme for visual attention modeling is proposed. It adopts both low-level and high-level features to predict visual attention from a video signal and fuses the features by using machine learning. We show that such a scheme is more robust than those using purely single level features. Unlike conventional techniques, our scheme is able to avoid perceptual mismatch between the estimated...
There have recently been many methods proposed for matching face sequences in the field of face retrieval. However, most of them have proven to be inefficient in large-scale video databases because they frequently require a huge amount of computational cost to obtain a high degree of accuracy. We present an efficient matching method that is based on the face sequences (called face tracks) in large-scale...
We propose a novel and simple framework that solves two popular problems in digital photography: 2D face synthesis and 3D face modeling. 2D face synthesis aims at creating a new face, usually by mixing two or more portraits. We extend this notion to the combination of human and statue faces. The goal of 3D face modeling is to reconstruct a face in three dimensions from one or several images. These...
Human skin detection is a very popular in much application, particularly in video surveillance. Many researchers have been conducting research in this area, by producing a variety of effective methods. In this paper, research carried out by using a simple and effective. A method of human skin region detection is base on Mixture of Gaussian (MoG) background subtraction and YIQ color enhancement. The...
Two Dimensional Principal Component Analysis (2DPCA) extracts the global feature of human face, but the local feature is very important to face recognition. In this paper, a method of imerging local feature and fuzzy weighting for 2DPCA face recognition was proposed. Firstly, two local feature areas — Upper area and Tzone area were divided, 2DPCA analysis is made to the view picture image and two...
Online education had already become an important aspect of the field of education, and be paid more and more attention. However there were emotional barriers from the separation between teachers and students lead to emotional loss of online learner. Based on the characteristics of online education environment, this paper analyzed the forms and reasons for emotional loss of the online education, and...
Psychologists found that human eye gaze direction has a very strong influence on facial expression. However, there exist few researches that took eye gaze direction into consideration while recognizing facial expressions. This paper makes use of the combination of eye gaze and facial expression information to detect human emotion. First, eye gaze direction is categorized into direct gaze and avert...
Irrecoverable data loss is inevitable for low-delay video conferencing over typical loss-prone networks such as the Internet. A semi-super-resolution (SSR) framework has been previously proposed to supply an additional low-resolution (LR) thumbnail to aid error concealment when the high-resolution (HR) image is lost. Super-resolution is an ill-posed problem, however, and previous block-search based...
Human skin detection in images is desirable in many practical applications, e.g., adult-content filtering. However, existing methods are mainly pixel-based and ignore that human skin is region-based. In this paper, we introduce a successful region detector, i.e., MSER, into the skin detection by regarding the skin region as the maximally stable extremal region (MSER). We extend the original MSER to...
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