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Shape Analysis in Archaeology
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Author(s): Juan A. Barceló (Universitat Autònoma de Barcelona, Spain)
Copyright: 2009
Pages: 20
Source title:
Computational Intelligence in Archaeology
Source Author(s)/Editor(s): Juan A. Barcelo (Universidad Autonoma de Barcelona, Spain)
DOI: 10.4018/978-1-59904-489-7.ch006
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Abstract
In order to be able to acquire visual information, our automated “observer” is equipped with range and intensity sensors. The former acquire range images, in which each pixel encodes the distance between the sensor and a point in the scene. The latter are the familiar TV cameras acquiring grey-level images. That is to say, what the automated archaeologist “sees” is just the pattern of structured light projected on the scene (Trucco, 1997). To understand such input data is the spatial pattern of visual bindings should be differentiated into sets of marks (points, lines, areas, volumes) that express the position and geometry of perceived boundaries, and retinal properties (color, shadow, texture) that carry additional information necessary for categorizing the constituents of perception.
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