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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.
Light Sources - polygon rendering and ray tracing methods Light Sources are key parts in any ray traced scene, since without them; there would be no rays to trace. Light sour
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computational algorithm for simulating the behavior of different physical and mathematical systems Monte Carlo methods are an extensively utilized class of computational algor
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What is scan line algorithm? One way to fill the polygon is to apply the inside test. I.e. to check whether the pixel is inside the polygon or outside the polygon and then hig
Interpolation of surface - Polygon Rendering Interpolation of surface normals beside the polygonedge between two vertices is demonstrated above in the figure 15. Here the norm
Explain application areas of computer graphics in different areas. Early computer graphics has only certain special capabilities such as straight lines circles and ellipses
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