Research paper software engineering
FACE DETECTION SYSTEMS BASED ARTIFICIAL NEURAL NETWORKS ALGORITHMS:
Abstract: Face detection is one of the most relevant applications of image processing and biometric systems. Artificial neural networks (ANN) have been used in the field of image processing and pattern recognition. There is lack of literature surveys which give overview about the studies and researches related to the using of ANN in face detection. The novelty of this work comes from the integration of A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. I would like to focus on some well-known face detection techniques and then some feature detection methods because until and unless we extract the important features (eyes, nose, mouth) from a face we won’t be able to uniquely identify the person properly. The dissimilarity between the two shapes is computed as some of
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In the first step, we localize the face region that means we are anticipating those parts of an image where a face may present. In the second step we normalize the detected region, so that the alignments of various facial features are in the proper location. In the third step we extract various facial features like eyes, nose, mouth, etc [1]. And in the forth step, we actually verify whether the anticipated parts are actually carrying out a face or not. We are doing this using some rules, template or image databases. The concept of extraction can be implemented by various techniques. There are a huge number of papers regarding the literature survey of face detection [2]. Most of the earlier work was on the frontal upright face, but recent work is mainly focus on non-frontal face with variation in their alignment. Also instead of still image, they are considering video stream
, and forehead. The local feature that is mainly used here is wrinkle feature of some particular portions of the face like forehead region, eye corners regions, eyelids, mid of eyebrows. Using five distance values, six features namely feature 1 to feature 6 are calculated in the following way: Feature 1 = (left to right eye ball distance) / (eye to nose distance)
1) Read all the input images and load the images into the database. I =imread(name of the image) imshow(I) set the position of image set(gcf,"position",[1,1,500,500]) Only the position and directions of these features are stored. 2) Enhancement of the features The enhancement of the image depends upon the quality of the input image to ensure the identification and verification system.
Figure 9.4 – Stream When the stream starts, OpenCV, which is running on the server, starts detecting and recognizing faces and displaying the results in a list that resides on the right sidebar. A green box appears, containing the information and the image of the recognized face. If the detected face is unrecognized, a red box appears, containing the face of the unknown individual. Figure 9.5 – Detecting & Recognizing Faces Right after an unrecognized face is caught, an email is sent as an alert for the security guards, containing the unrecognized face of the individual, alongside the date, the time and the IP Camera’s information.
The novel Unmasking the Face by Paul Ekman and Wallace V. Friesen was very interesting. It provided information on how to read six different emotions on the face. The book served as a guide to help understand emotions that people portray on their face. The guide focused on six main emotions: surprise, fear, disgust, anger, happiness, and sadness. In addition to all of emotions it explained the different types of signals that can appear on the face.
Throughout history, photographs have been known to depict and represent culture, character, information, and ideology. Through specific elements of form, and close scrutiny, photographs give a representation of the “bigger picture” by providing content and invaluable information that text, on its own, does not produce. Dr. Carol Payne, a professor of art history at Carleton University, wrote an essay in 2012 for the Oxford University Press. This essay focused on the relationships between photographic images, Canadian culture and identity, and indigenous people. Her thesis was to discuss how an image can present a sense of national identity (Carol Payne 310).
I am a team captain for a youth organized Relay For Life team through the American Cancer Society. As a team captain I experience I large amount of stress and pressure to provide the best opportunities for my team members to raise money, enjoy themselves, and fight against cancer. This summer I team member who has been a part of the team for at least five years, shared with me her opinion of the 2015 event. The day after the 24 hour event, late at night, I received an exceptionally long text message. As I was exhausted from being awake for over 28 hours I was asleep and did not see the message until I woke up in the middle of the night.
The clouds in a distance is murky with patches of dark gray over lighter gray clouds. Skyscrapers at least fifty floors above the ground. Different sizes, shapes, and colors of brick. Conveniently, in the center of the photograph is vivid images. Debris in thousands of pounds laying everywhere.
Another alternative to decrease police misconduct is through the use of body cameras which would hold officers accountable for their actions. Often, commanding officers exercise little supervision over the daily activities of their officers. Not only do officers patrol alone, but they are authorized to quickly create solutions and sanctions on the spot. This provides officers the freedom to get away with both minor and major violations to outright crimes. A tactic to prevent this from occurring is to mount body cameras on officers while on duty.
Everyday we encounter new and familiar faces. We are able to distinguish our mother’s face from a stranger’s face due to the facial recognition processes that we have stored in our brains. Facial recognition is one of the many processes of object-recognition. Many of us are not aware of the brain’s role in facial recognition because it is a process that we are not consciously doing. Face recognition differs from object recognition in a few ways.
For Examples which include, not only limited to fingerprint, iris recognition, retina, palm veins, palm print, face recognition, hand geometry, DNA, and odor/scent. The behavioral characteristics are not only related to the typing rhythm, gait and voice but also for the pattern of the limited behavior of a person. Some researchers have described that the different class of biometrics have more coined than the term behavior metrics.
Abstract— Face recognition is one of the most important biometric and face image is a biometrics physical feature use to identify people. Major and Minor segments of face space are eyes, nose and mouth. In biometrics quality face is the most imperative characteristic method for recognize individuals. High intra-class variety inside face pictures of the same individual is the significant issue in face distinguishment. Posture, statement and enlightenment are in charge of high intra-class variety.
Face recognition technology [1] is the least intrusive and fastest biometric technology. It works with the most obvious individual identifier – the human face. Instead of requiring people to place their hand on a reader (a process not acceptable in some cultures as well as being a source of illness transfer) or precisely position their eye in front of a scanner, face recognition systems unobtrusively take pictures of people 's faces as they enter a defined area. There is no intrusion or delay, and in most cases the subjects are entirely unaware of the process. They do not feel "under surveillance" or that their privacy has been invaded.
In this essay I will write about the strengths and weaknesses of perception as a way of knowing. Perception is the way we perceive the world through our senses. We use all five of our senses, which are sight, hearing, smell, taste and touch to understand the world and interpret it. We can then say it’s a Primary way of knowledge. We can also say that, because the senses is the way our body communicates, we have at least three more senses: kinesthetic sense, which is our awareness of our body’s dimensions and movement; vestibular sense, which is the awareness of the human’s balance and spacial orientation; and organic sense, which is the manifest of the internal organs (for example, hunger or thirst).
Abstract— In recent years, video surveillance systems become more important to enhance the security and safety of people. These systems can use in various fields such as smart home, office, bank security, monitoring the traffic and in public like shopping malls, railway stations, airports and so on. By using this system, it offers realtime display of the monitoring scene and video playback. Besides that, more comprehensive and specific monitoring with no limit of the line-of-sight can be achieved. In this paper, a study of video surveillance system which focusing on using wireless sensor network has been done.
The authors explore the notion of a white gaze which is hegemonic, historically established in material relations of white power where women and minorities are blamed for taking away their undeserving privileges. It boils down to resentful entitlement or privilege. The school shootings perpetrated by middle-class white male students, the men’s-rights movement, white supremacists, the fathers’-rights groups, etc. There is a deep-seated impression, among some white male Americans, that they are being deprived of their space in society. The era of privilege, when the reputable jobs and the best possessions was the white male American’s merit, has degenerated and is being succeeded by a society where white males are being systematically marginalized and overlooked in patronage of minorities and women.