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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.
3d clipping
Progressive Scan: Progressive or non-interlaced scanning is a process which displays, transmits or stores moving images wherein, the lines of all frame are drawn in order. It is i
What is start bust method?
Important points about Types of light resources - illumination model Note: While we see an opaque non-luminous object, we notice reflected light by one surface of the object
what is frame buffer
Graphic File Compression Formats Web graphics are by requirement compressed due to the bandwidth issues surrounding networked delivery of information and since image files inc
Simulating Accelerations - Computer Animation In previous block, we have seen the dominance and function of mathematics in computer graphics and now, we will undertake the invo
what languge do computers speak
Interpolation of surface - Polygon Rendering Interpolation of surface normals beside the polygonedge between two vertices is demonstrated above in the figure 15. Here the norm
1. Do we have need of to generate the full circumference of the circle utilizing the algorithm or can we can produces it in a quadrant or octant only and after that utilization
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