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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.
scan conversion of circle
what is polygonal rendering
QUESTION (a) In Automatic Contrast Adjustment briefly explain how to stretch an image to its full intensity (b) Write down a mathematical function of a Modified Automatic Con
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Poser - software to generate computer animations Poser: Poser through Curious Labs Creates 3-dimentaional complex models which you can view from any angle, distance o
what is ray tracing algorithm in hidden surface removal
Axis of Rotation - Construction of a solid with a translational sweep Figure: (a) Figure (b)
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What is meant by Addressability? Ans. Addressability is the number of individual dots per inch (d.p.i.) that can be formed. If the address of the current dot is (x, y) then the
Introduction of Visible Surface Detection For displaying a realistic presentation of the given 3Dimentional object, hidden surfaces and hidden lines should be identified fo
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