Old Maps and the Watercolor Illusion: Cartography, Vision Science and Figure-Ground Segregation Principles

Baingio Pinna and Gavino Mariotti
Additional contact information
Baingio Pinna: University of Sassari
Gavino Mariotti: University of Sassari

A chapter in Systemics of Emergence: Research and Development, 2006, pp 261-278 from Springer

Abstract: Abstract Long-range color spreading is studied in two experiments in which a purple contour is flanked by an orange contour. The color faintly but uniformly fills in the surface from the orange contour inducing a strong figural effect and is therefore known as the Watercolor illusion. The figural effect of the watercolor illusion is compared with classical Gestalt factors (past experience, similarity and symmetry). The results of the experiments reveal a more effective role of the watercolor illusion in form perception and in figure-ground segregation than the one of the past experience principle and, in addition, corroborate the perceptual effects in distinguishing and demarcating geographical regions obtained by early cartography using the outline-color technique. The results are explained in terms of Grossberg’s FACADE neural model of biological vision.

Keywords: historical cartography; watercolor illusion; grouping principles; unilateral belongingness of boundaries; figure-ground organization; neural model (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-28898-7_19

Ordering information: This item can be ordered from
http://www.springer.com/9780387288987

DOI: 10.1007/0-387-28898-8_19

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().