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Scale-Space Theory in Computer Vision

Name: Scale-Space Theory in Computer Vision
Brand: Springer-Verlag New York Inc.
SKU: 01423485
Price: 191.59 EUR
Availability: InStock
Author: Tony Lindeberg
ISBN: 9781441951397

Tony Lindeberg

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Libro Tapa blanda

Código Libristo: 01423485

Editores Springer-Verlag New York Inc., diciembre 2010

We perceive objects in the world as having structures at both coarse and fine scales. A tree, for in... Descripción completa

Código Libristo: 01423485

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191.59 €

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We perceive objects in the world as having structures at both coarse and fine scales. A tree, for instance, may appear as having a roughly round or cylindrical shape when seen from a distance, even though it is built up from a large number of branches. At a closer look, individual leaves become visible, and we can observe that they in turn have texture at an even finer scale. The fact that objects in the world appear in different ways, depending upon the scale of observation, has important implications when analyzing measured data, such as images, with automatic methods. Scale-Space Theory in Computer Vision describes a formal framework, called scale-space representation, for handling the notion of scale in image data. It gives an introduction to the general foundations of the theory and shows how it applies to essential problems in computer vision such as computation of image features and cues to surface shape. The subjects range from mathematical underpinning to practical computational techniques. The power of the methodology is illustrated by a rich set of examples.