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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.
1. For the polygon shown in Figure on the next page, how many times will the vertex V 1 appear in the set of intersection points for the scan line passing through that point? How
Features for good 3-Dimentional modeling software are as: Multiple windows which permit you to view your model in each dimension. Capability to drag and drop primitive
Bezier Curves - Modeling and Rendering Bezier curves are utilized in computer graphics to turn out curves which display reasonably smooth at all scales. Such spline approximat
Entertainment - Applications For Computer Animation Advertising, Games, Film, Video, Television, Multimedia are various of the entertainment fields wherein computer animation h
what languge do computers speak
What is Graphical Design Notation
Phong shading OR Normal Vector Interpolation Shading In Gouraud shading we were doing direct interpolation of intensities although a more exact method for rendering a polygon
MPEG-2 : MPEG-2 that is Moving Picture Experts Group format 2 is the standard used through DVD and is of a much higher quality than MPEG- 1. This format gives for 720 x 480 resolu
MULTIMEDIA TOOLS : In this sense, we will emphasize on various tools utilized in the field of multimedia. Basic Tools: The fundamental toolset for building multimedia p
QUESTION While the design and printing of a job is of extreme importance, it is what happens to the job after it is printed that can really make it fantastic You have always
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