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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.
Problems at Shared Vertices - Modeling and Rendering Shading discontinuities can arise while two adjacent polygons fail to share a vertex which lies along their common edge.
Derive the common transformation for parallel projection into a specified view plane, here the direction of projection d=aI+bJ+cK is along the normal N=n1I+n2J+n3K along with the r
1. Design a bitmap for the English vowels A, E, I, O, U for two different sizes and then implement the bitmaps to plot these vowels on the display. Keep in mind that baseline of al
Cohen Sutherland algorithm Point clipping is very simple. All you need to check is whether a point is inside the window extremes in x- and y-directions. For line clipping sev
Three Sub-Fields of Computer Simulation Computer simulation is the electronic equivalent of this kind of role playing and it functions to drive synthetic environments and virt
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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
Translation, Rotation and Scaling - output primitives 1. Two basic approaches used in character generation are - Bitmap method and outline method. 2. All 2D geometric tran
Find Out Projection Matrix for Oblique Projection To find out projection matrix for oblique projection, we want to find out the direction vector d. Because vector PP' and vect
Distinguish between bitBlt and pixBlt? Raster functions that manipulate rectangular pixel arrays are usually referred to as raster ops. Moving a block of pixels from one locat
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