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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.
Question: (a) Describe in details the meaning of the following terms often available in drawing tools: (i) Welding objects; (ii) Trimming objects; (iii) Intersecting obje
In computers, colours are created by blending different combinations of red, green and blue. These colours are normally specified as three two-digit hexadecimal numbers in html, ph
IMG/MAC/MSP File Formats IMG files were originally implemented to work along with GEM paint program and can handle monochrome and grey level pictures only. MAC files are uti
Single Point Perspective Transformation - Viewing Transformations In order to derive the particular point perspective transformations beside the x and y-axes, we construct fi
Objectives After completing this section, you must be familiar with: explain computer graphics, its characteristics and features; Conversations about applicat
Summary of Graphic Primitives In this all section, we have illustrated the basic graphic primitives that are line, point and circle; we have also illustrated both practical an
how can I draw a flower.
Define the term Avatars- Animation Avatars are another instance of animation. These are frequently used to represent people either in 3-D (as used in computer games) and in 2-D
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Explain the differences among a general graphics system designed for a programmer and one designed for a specific application, such as architectural design? Basically, package
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