Visual analysis in archaeology. An artificial intelligence approach

Juan A. Barceló

doi:10.1007/978-3-540-95853-6_5

Visual analysis in archaeology. An artificial intelligence approach

Juan A. Barceló

Research output: Chapter in Book › Chapter › Research › peer-review

12 Citations (Scopus)

Abstract

© Springer-Verlag Berlin Heidelberg 2010. Archaeology is a quintessentially “visual” discipline, because visual perception makes us aware of fundamental properties of objects and allows us to discover how objects were produced and used in the past. The approach I adopt here is to follow current computational theories of visual perception to ameliorate to way archaeology can deal with the analysis and explanation of the most usual visual marks: shape and texture. In any case, I am not interested in the mere mechanical procedure of extracting shape information among visual input, but in explaining why archaeological evidences have the shape they have.

Original language	English
Title of host publication	Lecture Notes in Earth Sciences
Pages	93-156
Number of pages	63
Volume	124
DOIs	https://doi.org/10.1007/978-3-540-95853-6_5
Publication status	Published - 1 Jan 2010

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title = "Visual analysis in archaeology. An artificial intelligence approach",

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Visual analysis in archaeology. An artificial intelligence approach

Abstract

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