Today there are many techniques working in this field. Some of them are:
2.4.1). Face Recognition using Tensor Analysis:
Human recognition processes consider a broad spectrum of stimuli obtained from many, if not all, of the senses. The human brain is a complex system that probably applies contextual knowledge to recognize individual faces. It is futile effort to even attempt to develop a computer system using existing technologies that can closely resemble the remarkable ability of facial recognition like humans. However, the main advantage that such a system would have over a human classifier is due to the limitation of the human brain to accurately remember a large database of individuals. Over the past couple of decades, face recognition
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Isometric Feature Mapping also known as ISOMAP is often used to solve dimensionality reduction problems. Some of the traditional methods for dimensionality reduction are Principal Component Analysis (PCA) and Multidimensional Scaling (MDS). However, these techniques assume that the data points lie on a linear subspace of the high dimensional input space and cannot be used to capture any inherent non-linearity of the data image. The main advantage of ISOMAP over these linear techniques and other non-linear techniques is that it is capable of efficiently calculating a globally optimal solution. It is possible for two points to be extremely close in the original data as measured by their Euclidean distances but can be extremely far apart in the lower dimensional manifold when measured by the geodesic or shortest path distances. Isometric Feature Mapping, popularly known as ISOMAP is often used to solve dimensionality reduction problems …show more content…
Lades et al. developed a Gabor wavelet based face recognition system using dynamic link architecture (DLA) framework which recognizes faces by extracting Gabor jets at each node of a rectangular grid over the face image [33]. Wiskott et al. subsequently expanded on DLA and developed a Gabor wavelet-based elastic bunch graph matching (EBGM) method to label and recognize facial images [34]. Liu and Wechsler have developed a Gabor feature based classification protocol using the Fisher linear discriminate model for dimension reduction [35]. Shan et al. have developed an enhanced fisher model using the AdaBoost strategy for face recognition [36]. Zhang et al proposed a face recognition method using histogram of Gabor phase pattern [37]. . Gabor transform is used in [38] is robust for the expression, the posture and the illumination. Reference [39] tells how to constructs an eyes feature template and energy function. Those eyes location methods are used on the assumption that the face images have been exactly located, or with clear background. However, the accuracy of eyes location is affected by various factors in the
5.2 GABOR-KPCA Results: Using Mahalanobis Cosine (MAHCOS) Distance Identification experiments: The rank one recognition rate of the experiments equals (in %): 80.00% Verification/authentication experiments on the evaluation data: The equal error rate on the evaluation set equals (in %): 4.17% The minimal half total error rate on the evaluation set equals (in %): 2.68%
Fig. 4. (a) Edge detected face (b) Edges in wrinkle area Feature 7= (sum of pixel values in forehead area / number of pixels in forehead area) + (sum of pixel values in left eyelid area / number of pixels in left eyelid area) + (sum of pixel values in right eyelid area / number of pixels in right eyelid area)
1.2 RESEARCH OBJECTIVES: 1.2.1 Creating Data Set The images used in this work have been obtained from the Street View service developed by Google. It provides high- resolution views from various positions along many streets and roads in the world. These images are taken at discrete geographical locations defined by a pair (LAT, LON) (latitude and longitude in decimal degrees, respectively) [19].
Multilinear principal component analysis (MPCA) is a mathematical procedure that uses multiple orthogonal transformations to convert a set of multidimensional objects into another set of multidimensional objects of lower dimensions. There is one orthogonal (linear) transformation for each dimension (mode); hence multilinear. This transformation aims to capture as high a variance as possible, accounting for as much of the variability in the data as possible, subject to the constraint of mode-wise orthogonality. MPCA is a multilinear extension of principal component analysis (PCA).
Changes whether big or small, everyone goes through them at one point. Others however, go through such massive changes their whole attitude, and sometimes perspective on life alters. With struggling grades, Greg, A.K.A Slam, the egotistical Junior struggles to stay on the basketball team, while confronting personal issues. In Walter Dean Myers Slam! Greg (Slam) grows more mature by becoming a team player with the help from Mr. Goldstein, takes school seriously with help from Mtisha, and realizes everything in life isn’t perfect.
An article was titled Giving Faces to the Lost by Angela Libal. The title has two different meanings; a figurative meaning and a literal meaning. The figurative meaning of the title Giving Faces to the Lost is when forensic anthropologists give an identity to a victim. They find out the age, race, gender,etc.
In the culture we live in today, we are bombarded with ideas and images of “what we should be”. We are expected and obligated to modify ourselves in order to live up to social expectations and to feel accepted by others. It is the fear of being an outcast that pressures us to mask our true identity. Therefore, in an American culture, one can form an identity and still remain true and authentic to oneself through nonconformity and self-reliance. Jon Krakauer’s novel Into the Wild portrays Chris McCandless’s journey of discovering his true identity through the idea of nonconformity.
Similar to the traditional approach, when using computer-aided 3D facial reconstruction, it is also necessary to assess the characteristics of the skull. Using this anatomical information alongside scanning technology, the computer can model the soft tissue depths onto a virtually generated image of the skull (Lee et al., 2011). The reconstructed computer image can then be altered instantaneously depending on whatever facial features need to be added. The image can also be sent via the internet or made accessible on the web for further dissemination into a wider community (Clement & Marks, 2005). The advantages of the computerised approach over the traditional approach are numerous, and include increased efficiency, rapid editing capability
Paolo Pedercini uses his video game Unmanned to deliver a social commentary on the normalization of bigotry that is present in the thought processes and behavior patterns of privileged cisgender, heterosexual, white men. The Western market for video games is designed around the concept that video games are for boys. Most games strive to allow the player to immerse themselves in the protagonist- and what better way for a man to immerse himself in a character than if the character displays the same bigoted traits as he does? In “A Series of Interesting Choices: The Building Blocks of Emotional Design”, Katherine Isbister says “The player moves through the game world taking actions as this person, adopting his or her concerns and struggling
I have chosen this article because the tittle seems very enticing. I want to know deeper information on how we can read people’s thoughts just by looking at them. I am also interested with the psychological issue so I decided to read and learn through this article. 4. Explain briefly in four or five sentences what the article is about.
My favorite literary character is Janie Johnson, the protagonist of The Face on The Milk Carton. Janie has gone through a lot knowing that her “parents” aren’t her actual parents. If I had a chance of meeting Janie Johnson I would love to expand my knowledge about her life and how she felt going through her whole life without knowing her biological parents. One question I would personally ask Janie is, How did you feel when you found out your whole life was a lie? I would ask Janie this because in this story she lived 15 years without knowing her real parents.
INTRODUCTION Now a day’s a facial recognition system is a computer application and it is used for automatically identifying or verifying a person . This is done by comparing selected facial features from the image and a facial database. Face Recognition System focuses on contactless man and machine interface. The human face plays an important role in our interaction and people’s identity.
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.
With eyes the main challenge for amateurs is they haven 't identified their eye shape. The fundamental problem with this is they will try to do a makeup tutorial and it looks completely different, that’s because they don 't understand what makeup style looks good with the shape. Because, makeup enhances features, and they will enhance the wrong things that throw off the whole look. The six main types of eye shapes are monolids, hooded, closed set, open set, deep set and protruding set. Of course there are many more but these are the basic shapes.
These concept is also known as STP (Segmentation, Targeting