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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.
2-dimensional xy-shearing transformation, as explained in equation (19), can also be simply extended to 3-dimensional case. All coordinates are translated as a function of displace
Transformation for Isometric projection - Transformation Suppose that P(x,y,z) be any point in a space. Assume as a given point P(x,y,z) is projected to the P'(x'y',z') on t
What is view distance? The view plane normal vector is a directed line segment from the view plane to the view reference point. The length of this directed line segment is ref
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Diffuse Reflection - Polygon Rendering & Ray Tracing Methods It is characteristic of light reflected from a non-shiny, dull surface. Objects illuminated solely through diff
what is web design
How we create virtual reality images for use on a computer system When a virtual tour of, for instance, a house is shown on a website the images need to be first created and th
Line Drawing Display - Random Scan Display Device The display through this system is termed as Line Drawing Display. The sequence controls the subsequent stages, demonstrated
Illustration: Find the normalization transformation N that uses the rectangle W (1, 1), X (5, 3), Y (4, 5) and Z (0, 3) as a window and also the normalized device screen like 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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