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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.
Area subdivision Method - Visible Surface Detection What are the circumstances to be fulfilled, in Area-subdivision method, thus a surface not to be divided in addition? S
Step1: Read a text file which we want to hide. Step2: Transform it into an array of its binary value. Step3: Transform this array into its equivalent one dimensional array
How to utilize illumination model to calculate vertex intensity: For such we interpolate intensities beside the polygon edges, for all scan line the intensity at the intersecti
Assumptions for Polygon or Area Clipping Algorithm Assumption: The viewport and window are rectangular. So only, by identifying the maximum and the minimum coordinates t
working of crt
Properties of Bezier Curves - modeling and rendering A very helpful property of a Bezier curve is that it always passes via the first and last control points. Such the bounda
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Silicon Graphics - Hardware for computer animation The SGI platform is one of the most broadly used hardware platforms in professional or broadcast feature computer animation
Define Aspect ratio- Aspect ratio: The ratio of vertical points to horizontal points necessary to produce equal –length lines in both directions on the screen, is called as
Projections - Viewing Transformation Specified 3-D object in a space, Projection can be explained as a mapping of 3-D object into 2-D viewing screen. Now, 2-D screen is termed
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