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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.
Parallel source and Distributed light source a) Parallel source: this is to be noted that while point source is at an infinite distance then light rays are parallel and func
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examples and equation of reflection
An animation demonstrates a car driving along a road that is given by a Bezier curve along with the subsequent control points: X k 0 5
Arguments made in favour of Analog Sound Shape of the waveforms: from digital signals sound reconstructed which is claimed to be harsher and unnatural compared to analog si
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GIF File Compression The Graphic Interchange Format file format utilizes a relatively basic form of file compression which squeezes out inefficiencies within the data storage w
Bezier curves: Theses are special polynomial curves expressed using Bernstein polynomials. Spline curves are simple extensions of Bézier curves composed of two or more polynom
What is uniform rational splines
Softwares and Hardwares for Computer Animation The categories of both software as well as hardware needed to work on animation are now to be discussed. Computer animation can b
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