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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.
Basics of Animation - Computer animation Historical and traditional methods for production of animation: As we have studied the transformations linked in computer graphics
Cases of the Sutherland Hodgman Polygon Clipping Algorithm In order to clip polygon edges against a window edge we move from vertex V i to the subsequent vertexV i+1 and cho
Performing rotation about an Axis For performing rotation about an axis parallel to one of the coordinate axes (say z-axis), you first need to translate the axis (and hence the
Question: (a) There are 3 main industries of drawing style and it has become a phenomenon. It was inspired by internationally diffused cartoons, comic strip books and since the
QUESTION 1. Describe and explain four features of Firewire. 2. Explain clearly what is sampling rate and how does it influences the quality of video produced. 4. In Adobe
Q. Describe different types of parallel and perspective projection used in computer graphics.
Scan line algorithm and seed fill algorithm Two basic approaches are followed in area filling on raster systems. In the first approach overlap intervals for scan lines that cr
Reflection and Shear There are a few important transformations which are not primitive in the sense that they can be expressed as compositions of translation, rotation and scal
The RIA should consist of: i) A simple Graphical User Interface (GUI) constructed from a simple navigation system (comprising of around 5 key frames) making use of the Flash tim
For orthographic parallel projection: glOrtho(left, right, bottom, top, near, far); glOrtho2D(left, right, bottom, top); Here left, right define the x-direction ex
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