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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.
Problem: a. Provide examples of classification of print finishing processes. b. In advertising, what do you meant by creative strategies? c. Creative strategies are div
Shearing - 2-D and 3-D transformations Shearing transformations are utilized for altering the shapes of 2 or 3-D objects. The consequence of a shear transformation seems like
Transformation for 3-D Shearing 2-dimensional xy-shearing transformation, as explained in equation, can also be simply extended to 3-dimensional case. All coordinates are tran
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Associative Links: it is a link that is completely independent of the exact structure of the information. For illustration we have links depends on the meaning of various informat
B-spline curves - clipping and 3d primitives B-spline curves are piecewise polynomial cubes with one or more polynomial pieces with a minimum smoothness requirement. For examp
differentiate between dda and bresenhams line algorithm
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Subdivision of polygon Test to find out the visibility of a single surface are made through comparing surfaces that as polygons P along regarding a specified screen area A.
Determine the transformation matrix for: a) Cavalier projection with θ=45 0 , and b) Cabinet projection with θ=30 0 c) Draw the projection of unit cube for all transfor
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