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The image classification is the process to categorize images into one of several classes or categories. In this project, there are seven categories (Piano, Kangaroo, Strawberry, Sunflower, Airplane, Face and Leopard). Classification requires training for each image category. The image categories are learned through a training process and an image is annotated in terms of the learned categories. Figure 1 shows the overall process of the image classification. This image classification can be used for automatic generation of keyword metadata and for efficient searching and leverage of archived content.
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Cohen Sutherland algorithm Point clipping is very simple. All you need to check is whether a point is inside the window extremes in x- and y-directions. For line clipping sev
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1. Use the outline method to plot the following font boundaries (style should remain the same). Implement your method in C language. ANswer: Here letter G is produced
Stochastic Animation - Computer Animation This utilizes stochastic processes that are a stochastic process can be identified as a random function. Such randomness could be in
What is Raster Scan Display A raster scan display device using CRT on the other hand directs the electron beam across the screen, one row at a time from top to bottom. In a ra
How avar values generate to get realistic movement There are numerous ways of generating avar values to get realistic movement. One way is to use markers on a real person (or w
Introduction of Curves and Surfaces This section has covered the methods of generating polygons, closed and curves surfaces. Under those methods we have discussed different ty
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Define Affine transformation? A coordinate transformation of the form X= axxx +axyy+bx, y 'ayxx+ayy y+by is known as a two-dimensional affine transformation. Every of the tra
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