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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.
Explain working of CRT
What are the different ways of specifying spline curve? Using a set of boundary conditions that are imposed on the spline. Using the state matrix that characteristics
difference between gl,glu and glut
Object Oriented Tools: In such authoring systems, multimedia components and events turn into objects that live in hierarchical order of parent and child relations. Messages are pa
Implement Cohen Sutherland and Liang Barsky line clipping algorithms in C-language. Test your code for line segments with end points falling in various regions.
Steps uses in the Cohen Sutherland Line Clipping Algorithm are: Figure: Steps for Cohen Sutherland Line Clipping STEP 1: Input: x L , x R , y T , y B
Exceptional cases - Orthographic Projection 1) We have an Orthographic projection, if f=0, then cot (β) =0 that is β=90 0 . 2) β =cot-1 (1)=450 and this Oblique projec
For this assignment, you will program a game called Pig. Pig is a two-player game where players compete to be the first to reach (or surpass) 100 points. Pig usually involves playe
identify a sphere along with a light source above it; hence its lower half will not be illuminated. In practice in a actual scene this lower half would be partially illuminated thr
Ray Tracing Algorithm - Recursive Frequently, the basic ray tracing algorithm is termed as a "recursive" acquiring an outcome wherein a given process repeats itself an arbitr
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