a. Identify the work being criticized
b. Present thesis – argument about the work
c. Preview your argument – what are the steps you will take to prove your argument
II. Summary/Evaluation of the work
a. Does not need to be comprehensive – present only what the reader needs to know to understand your argument.
b. Where does the argument go wrong (look back at the Rebuttal PowerPoint)?
III. Your argument
a. Your argument will likely involve a number of sub-arguments –mini-theses you prove to prove your larger argument true.
For example, if your thesis was that the author’s presumption that the world will soon face a “clash of civilizations” is flawed because he inadequately specifies his key concept, civilizations, you might prove this by: i. Noting competing definitions of civilizations ii. Identifying how his examples do not meet the example of civilizations iii. Argue that civilization is so broad and non-specific that it is not useful
b. This should be the bulk of the paper – I want to read your argument about the work, not a summary.
a. Reflect on how you have proven your argument.
b. Point out the importance of your argument
c. Note potential avenues for additional research or analysis
ter on, one of the most known methods will be discussed in a detailed way. The facial recognition methods that can be used, all have a different approach. Some are more frequently used for facial recognition algorithms than others. The use of a method also depends on the needed applications. For instance, surveillance applications may best be served by capturing face images by means of a video camera while image database investigations may require static intensity images taken by a standard camera. Some other applications, such as access to top security domains, may even necessitate the forgoing of the nonintrusive quality of face recognition by requiring the user to stand in front of a 3D scanner or an infrared sensor. Consequently, there can be concluded that there can be made a division of three groups of face recognition techniques, depending on the wanted type of data results, i.e. methods that compare images, methods that look at data from video cameras and methods that deal with other sensory data, like 3D pictures or infrared imagery. All of them can be used in different ways, to prevent crime from happening or recurring. ii. How do these technologies work? As listed above, there exists a long list of methods and algorithms that can be used for facial recognition. Four of them are used frequently and are most known in the literature, i.e. Eigenface Method, Correlation Method, Fisherface Method and the Linear Subspaces Method. But how do these facial recognition work? Because of word limitations, only one of those four facial recognition techniques, i.e The Eigenface Method, will be discussed. Hopefully this will give an general idea of how facial recognition works and can be used. One of the major difficulties of facial recognition, is that you have to cope with the fact that a person’s appearance may change, such that the two images that are being compared differentiate too much from each other. Also environmental changes in pictures, like lightning, have to be taken into account, in order to have successful facial recognition. Thus from a picture of a face, as well as from a live face, some yet more abstract visual representation must be established which can mediate recognition despite the fact that in real life the same face will hardl>GET ANSWER