| Linking depth to lightness and anchoring within the differentiation-integration formalism. | |
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MedLine Citation:
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PMID: 20460133 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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Recently we developed a model that reproduces the Kanizsa square illusion based on two principles: (1) a spatial 2-D integration of luminance ratio and differentiated depth signals creates a "primary" lightness map and a depth map, respectively, which is then followed by (2) a modification of the primary lightness values under influence of the perceived depth (Kogo, Strecha, Van Gool, & Wagemans, 2010). Within this model, the process of the spatial integration inevitably introduced an arbitrary offset. In order to obtain absolute values of depth and lightness, the offset values needed to be determined by other constraints. This is the anchoring problem of the depth and lightness measurements. Here we report the anchoring rules that were established by investigating the model's responses to the Kanizsa square and its wide range of variations. For the primary lightness map, the highest value rule was applied, while the area rule appeared most plausible for the depth map. By applying the same principles to simple figures consisting of black and white areas of different size ratios, the model succeeded in reproducing published empirical results on lightness anchoring (Li & Gilchrist, 1999). |
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Authors:
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Naoki Kogo; Luc Van Gool; Johan Wagemans |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-05-10 |
Journal Detail:
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Title: Vision research Volume: 50 ISSN: 1878-5646 ISO Abbreviation: Vision Res. Publication Date: 2010 Jul |
Date Detail:
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Created Date: 2010-07-12 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0417402 Medline TA: Vision Res Country: England |
Other Details:
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Languages: eng Pagination: 1486-500 Citation Subset: IM |
Copyright Information:
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Copyright 2010 Elsevier Ltd. All rights reserved. |
Affiliation:
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Katholieke Universiteit Leuven, Laboratory of Experimental Psychology, B-3000 Leuven, Belgium. naoki.kogo@gmail.com |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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