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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.
Morphing - Key Frame Systems Transformation of object shapes from one form to the other is termed as morphing as short form of metamorphism. This method can be applied to any o
Polygon Filling Algorithm - Raster Graphics and Clipping In several graphics displays, this becomes essential to differentiate between different regions by filling them along
Phong Specular Reflection Model or Specular Reflection This model of local illumination is frequently termed as the Phong specular reflection model. Here we discuss the matter
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
what is cubic spline
Amiga - Hardware for computer animation Originally owned through Commodore, Amiga computers have conduct a position in the computer animation industry for many years. This is
WHAT IS PAINTERS ALGORITHM?
multimedia
Transformation for 3-D Rotation Rotation in 3-dimensions is considerably more complicated then rotation in 2-dimensions. In 2-Dimentional, a rotation is prescribed via an angl
deffrent between vecgen algorithm and bresenham line algorithm in computer graphic
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