Human Face Expression Capture And Virtualization On Iphone

Virtual reality systems are used for simulating different real life situations on the computer which looks approximately same as the real world. In these tools, user need to wear some special cloths which has sensors attached, these sensors observe and record all the activities and responses of the user. These tools are very useful in training of many technologies like in pilot training of Boeing dreamliner, or some new technology etc.

Facial recognition is a technological product of the digital age that is continuing to evolve. The efficiency of the technology is an asset to crime detectives apprehending criminals, or the government tracking suspected terrorists for the safety of the country. It can also be used on a corporate level to allow a business to understand their ideal customer, or to increase the intractability of their website. While these abilities are positives to the people using them, the data collection may be harming more than it is helping. Considering the benefits of facial recognition, it is important for people to see what they are giving up for a more efficient experience. Facial recognition technology forces users to relinquish control of their own

In the present contemporary era, facial recognition technologies are being installed by the companies in an extensive sense that surely reflects a continuum of growing hi-tech superiority and complexity. At the most ordinary level, facial detection is done by this technology which means that a photo is just detected and located for a face ("Facing Facts: Best Practices for Common Uses of Facial Recognition Technologies," 2012).

Another common and inappropriate use of facial recognition technology exists in many social media platforms and systems. In the current social media domain,

OpenCV is the main module that I will be using throughout my project. This module will help me determine the different parts of a person’s face that I would like to use to gauge, especially the user’s eyes and mouth. I have used cascades, such as the haarcascade for frontal face and eyes, which give my program the information to detect what a face, mouth, and eyes look like. Using the data from these cascades, I have been able to find a face, mouth, and eyes from a webcam video and an image. However, from my testing I have found that finding these facial features from an image is more accurate than find these features from a video. This is because the webcam video refreshes its frames, so it is constantly updating the location of the user’s eyes and mouth. In order to fix this problem, I intend on allowing users to take pictures of their current facial expression by pressing a button, and then determining the location of the users’ mouth and eyes from this picture. Furthermore, to avoid strange bugs in my code, I plan to make sure that there is only one face, two eyes, and one mouth in these respective

Client able to do different facial expressions such as smiling, frowning and raising of eyebrows; able

Virtual reality is an interesting topic. Today, technology develops so rapidly, and it becomes a vital role in society.

The face recognition model developed by Bruce and Young has eight key parts and it suggests how we process familiar and unfamiliar faces, including facial expressions. The diagram below shows how these parts are interconnected. Structural encoding is where facial features and expressions are encoded. This information is translated at the same time, down two different pathways, to various units. One being expression analysis, where the emotional state of the person is shown by facial features. By using facial speech analysis we can process auditory information. This was shown by McGurk (1976) who created two video clips, one with lip movements indicating 'Ba' and other indicating 'Fa'. Both clips had the sound 'Ba' played over the clip.

Through this routine of advanced technology analysis, it has been established to increase the results and have hastened the procedure of identifying suspects of crimes. Facial recognition is also necessary for public involvement and observation as it also aids law enforcement officials to more easily zone in on possible suspects of a crimes being caught. With the use of facial recognition, it constantly has been proven quite an effective method with the incorporation of this technique.

Most people are surprised to learn exactly how much information they communicated about themselves through their facial expressions. The intricacies of what one does with their the eyes, eyebrows, forehead, lips, tongue, teeth, and mouth while listening or talking combine to send some

This essay will talk about face recognition and several reasons why it has been studied separately. The ability to recognise faces is of huge significance of people’s daily life and differs in important ways from other forms of object recognition (Bruce and Young, 1986). Than this essay will talk about the processes involved in face recognition which comes from the diversity of research about familiar and unfamiliar faces-it includes behavioural studies, studies on brain-damaged patients, and neuroimaging studies. Finally, it will discuss how face recognition differs from the recognition of other object by involving more holistic or configuration processing and different areas of the brain (Eysenck & Keane, 2005).

Bruce and Young’s theory of recognition tells us that human’s extract several kinds of information from faces; and that there are eight different components of such information. Such as structural encoding, expression analysis, facial speech analysis, directed visual processing, face recognition nodes,

Automatic face recognition has always been a major focus of research for a few decades, because of numerous practical applications where human identification is needed. Compared to other methods of identification (such as fingerprints, voice, footprint, or retina), face recognition has the advantage of its non-invasive and user friendly nature. Face images can be captured from a distance without interacting with the person, which is particularly beneficial for security and surveillance purposes. Furthermore, extra personal information, like gender, face expressions or age, can be obtained by further analyzing recognition results. Nowadays, face recognition technology has been widely applied to public security, person verification, Internet

Introduction: As we know in 21 century technology is so advanced, using it we can develop advanced robot, drone and etc. Augmented realty and Internet of things are hottest topic of our era. Augmented reality is a live, direct or indirect, view of a physical, real-world environment whose elements are augmented by computer input such as video, graphics and etc. This technology change what 's real and what 's computer generated by enhancing what we see, hear and feel .We make an augmented reality based product Virtual Mirror. It will simulate makeup on a person’s face in both real time and 3D. The unique technology tracks a person’s facial features The past work done on it so far is quite good but we think to advance it or go to higher level. Virtual Mirror virtually demonstrates endless beauty products and fashion style in a cutting edge technology which give e-commerce and retail market to enhance their business. After each tester choice, user have to remove the product you just put on to try out the next, which is not only time consuming but can also be hard on your skin, so Virtual Makeup Mirror is the solution of this problem. It provide customer to choose very wide range of product thereby increasing customer satisfaction.

Seeing is believing, these words are the best combination to understand the meaning of Virtual Reality (VR). VR is one of the best asset and aspect of our future. No other technology has seen such a revolution like VR has. It is practically in use in almost every field such as entertainment, gaming, defense, robotics, medical, healthcare, military, education, fashion, heritage, business, engineering and many more fields. VR sometimes called Virtual Environment has drawn much attention in the last two decade. Extensive media coverage causes the much more rapid increase in the interest of the masses. Very few people, however, really know what VR is and what are its open problems are. In this report a historical overview of virtual reality is presented, basic terminology as an introduction are listed, followed by applications of this technology in science, work, and entertainment areas. Its present developments are thoroughly discussed in this report. Finally, the future of VR is considered in two aspects: technological and social. New research directions, technological frontiers and potential applications are pointed out. The possible positive and negative influence of VR on life of average people is speculated.