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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.
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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, Su
Rotation - 2-D and 3-D transformations Within 2-D rotation, an object is rotated via an angle θ along w.r.t. the origin. This angle is assumed to be +ive for anticlockwise rot
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find the transformation and draw the cube for cavalier and cabinet with theta = 37 degree
What is the use of Projection reference point? In Perspective projection, the object positions are transformed to the view plane with these converged projection line and the p
Lamberts Cosine Law - Diffuse Reflection "LAMBERTS COSINE LAW" specify that the radiant energy from any minute surface area dA in any direction θ relative to the surface usual
In this project, the image data set consists of 320 training images and 285 test images. Table 1 shows the image data set in details. In addition to the original images, th
Illustration of a Clipping window ABCD is placed as follows: A (100, 10), B (160, 10, C (160, 40), D (100, 40) By using Sutherland-Cohen clipping algorithm determine the vis
Question 1 What is Multimedia? Explain sound multimedia element Question 2 Explain any three elements of drawings Question 3 Explain any three types of drawing Quest
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