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Title : FROM WHERE TO WHAT: IMAGE UNDERSTANDING THROUGH 3-D GEOMETRIC SHAPES
Company : BAE Systems
File Name : Zhang_B.pdf
Size : 1007931
Type : application/pdf
Date : 12-Sep-2010
Downloads : 16

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Featured Paper by

Bingcai Zhang and William Smith

It is a trivial task for a five-year-old child to recognize and name an object such as a car, house, or building. However, it is a challenging process to identify and label these same objects automatically in a digital image. In the last three decades, researchers have used radiometric properties to identify objects in digital imagery. The supervised image classification algorithm groups similar image pixels based on their values. This approach has proven to be successful, yet it is reaching its theoretical limitation. For example, it is impossible to identify a car based only on color. A five-year-old child uses color, 3-D geometric shape, and other properties such as doors and wheels to identify a car.
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