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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.
Problem with Interpolated Shading There are several more shading models that intermediate in complication among Gouraud and Phong shading, linking the liner interpolation of t
Explain the concept of t he frame buffer
3DStudio Max -Softwares for computer animation The successor to 3-DStudio 3.0, 3-DStudio Max runs in WindowsNT. This is completely object-oriented, featuring new enhancements a
Aspect ratio - Display Devices Ratio of vertical points to horizontal points necessary to produce equal length lines in both directions on the screen. For example, in a CRT mon
What is the advantages of electrostatic plotters? Advantages of electrostatic plotters: They have very high quality printers and faster than pen plotters. Recent electros
Explain Positioning Techniques in computer Graphics in detail
Basic Tests - Producing Polygon Surface A few basic tests that must be performed before producing a polygon surface through any graphic package as: 1) All vertexes are list
#drawing
Phong Model or Phong Specular Reflection Model It is an empirical model that is not based on physics, although physical observation. Phong observed here for extremely shiny su
What is cubic spline? Cubic splines are a straight forward extension of the methods underlying parabolic spline. The total curve in this case is a sequence of arcs of cubic ra
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