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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.
computer animation Note : This is to be noticed that computer animation can also be produced by changing camera parameters as its position, orientation and focal length, as w
determine the form of the transformation matrix for a reflection about an arbitrary line with equation y=mx+b.
QUESTION a) Once a print job is accepted by the print service provider, it will be assigned a job number and this information will become part of a printed job ticket, which wi
Important Points for Windowing Transformations 1. Window explains what is to be viewed and viewpoint describes where it is to be displayed. 2. Frequently window and viewpoi
Vanishing Point - Viewing Transformations This point is that point at those parallel lines shows to converge and vanish. A practical illustration is a long straight railroad
3Dstudio - Softwares for computer animation 3DStudio is a 3-D computer graphics programmed. 3DStudio runs on personal computers. This is relatively simple to use. Several schoo
MPEG-1 : MPEG-1 that is Moving Picture Experts Group format 1 is an industry standard encoding format that is broadly used. Its normal format is a frame size of about 352 x 240 an
what is normalization transformation?why is it needed and important?give simple example also.
WHAT IS COMPUTER GRAPHICS?
Implement the Scan line polygon fill algorithm for any arbitrary polygon in C-language and then use your code to fill each of the following type of polygon. i) Convex polygon
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