Facial Recognition

Another common and inappropriate use of facial recognition technology exists in many social media platforms and systems. In the current social media domain, when you post or are tagged in a photo, you are, in essence, saying goodbye to anonymity and the right to privacy that we value socially and culturally. Photos from Facebook, Twitter, and Instagram can all be used online to create an unintended profile: your “face print”. Using this “face print”,

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).

This double dissociation therefore suggests that recognition of faces and common objects is served by different mechanisms that are independent for each other. Although brain cells of face recognition have not been located, some functional models could help us interpret face recognition and prosopagnosia. One of the most influential models was proposed by Bruce and Young (1986). In this model face recognition involves several steps, and three steps more relate to prosopagnosia.

In adults, three variables were used to test the other-race effect on facial recognition: orientation, face type and ethnicity. Adults at least 18 years of age and older (N = 64) were asked to recognize upright and inverted adult and infant faces. Recognition was tested using a forced-choice procedure. 4 slides were shown during a trial to make sure participants understood the instructions. Next, participants viewed 48 slides with faces alternating between adult female and infant faces; first segment each face was upright, second segment faces were inverted. The results of the study found that there was no significance between race and facial recognition. Other research conducted has shown that race does in fact have a significant effect on facial recognition.

The researchers used 11 Polaroid photos of VJ’s club members to teach the face-name associations. This was performed by the method of combining visual imagery, vanishing cues, and expanding rehearsal (Clare et al., 2001). The researchers took VJ to the familiar environment of the club to do generalisation sessions using the photos and found the initial recall was 20% and raised to 98% over time and became 100% at the one, three, six and nine months follow-up

The studies conducted by Northwestern say that brain activity increases in the first 200 milliseconds when we first interact with a person from our same race or from a different race. The studies say that there is a time right after a person meets another of the same race or a different race that determines whether the face is remembered or even forgotten. The point where the brain begins to remember or forget the memory is almost immediately after a person first sees the face. People also remember people by their attributes for example, you might see that a face reminds you of someone you know. You may see that the persons expression appears kind or afraid, or it looks like the face of a famous athlete or a singer. Being able to identify people's attributes increases the likelihood that a face will be

There are several different types of psychological and neurological phenomena that individuals live with every day. One of most interesting conditions that many individuals might not be aware of is prosopagnosia or face blindness. Prosopagnosia is the inability to recognize and distinguish faces. For example, individuals with this condition could have difficulty recognizing their child’s, spouse’s, parent’s, or friend’s face. Many individuals with prosopagnosia will rely on other features to distinguish between other people, such as hair style or color, voices, or posture. As discussed in Chapter 3, prosopagnosia is thought to affect the Fusiform Face Area.

In biometric recognition there different kind of recognition that relates to biometric but some of the current uses in iris recognition is the national border controls which is the iris being an passport. Also their more current uses for the iris recognition is the forensic usage which is when tracing and finding a missing person or any individual that was missing personal files. There also other uses that their using and one of them is for iris recognition is using the internet security to control the access of the privileged information. Some of the current uses for face recognition is for crime fighting which is when the law enforcement agents are using to recognize many people based on their face. Also another uses of face recognition

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.

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).

Prosopagnosia is defined as the difficulty in recognizing an individuals face; it is broken down into 3 main types; Apperceptive prosopagnosia, associative prosopagnosia and developmental prosopagnosia. Perception is an important aspect when recognizing faces, without recognizing the stimulus (face) you would not be able to identify a person. Therefore the individuals who sufferer from this disorder is unable to accurately recognize a face whether that be the face of a familiar person such as a family member or close friend, the face of a famous person, or even their own face. This paper will look at prosopagnosia in greater detail, it will explain the 3 main types, as well as give insight as to why face recognition is important in our

Biometric recognition plays an important role in the field of security for any system. For embedded system it plays a significant role. As we know ATMs and smart phones are the most used smart devices that we interact daily, is needs to be secured. For this reason it must have a secure system that can provide security to save our personal things. For securing them there are lots of ways that are introduced in the past years. Biometric recognition is one of them. In the field of biometric recognition face, fingerprint, voice and retina are used to recognize an individual. Iris recognition is one of them. (Jain, A.K, 2004) Every human has a different body characteristic. One will never be same like another. Eye is one of them.

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,

Craik, F. I., Rose, N. S., & Gopie, N. “Recognition Without Awareness: Encoding and Retrieval Factors.” American Psychological Association. (2015). 1271-1273.Web.