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Bio-Algorithms and Med-Systems

Editor-in-Chief: Roterman-Konieczna , Irena


CiteScore 2018: 0.29

SCImago Journal Rank (SJR) 2018: 0.129
Source Normalized Impact per Paper (SNIP) 2018: 0.324

ICV 2018: 120.80

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Depth map color constancy

Marc Ebner
  • Corresponding author
  • Institut für Mathematik und Informatik, Ernst Moritz Arndt Universität Greifswald, Greifswald, Germany
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/ Johannes Hansen
  • Institut für Mathematik und Informatik, Ernst Moritz Arndt Universität Greifswald, Greifswald, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2013-11-29 | DOI: https://doi.org/10.1515/bams-2013-0152

Abstract

A human observer is able to determine the color of objects independent of the light illuminating these objects. This ability is known as color constancy. In the first stages of visual information processing, data are analyzed with respect to wavelength composition, orientation, motion, and depth. With this contribution, we investigate whether depth information can help in estimating the color of the objects. We assume that local space average color is computed in V4 through resistively coupled neurons to estimate the color of the illuminant. We show how this computational model can be extended to incorporate depth information.

Keywords: color constancy; color perception; depth map; Kinect; space average color

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About the article

Corresponding author: Marc Ebner, Institut für Mathematik und Informatik, Ernst Moritz Arndt Universität Greifswald, Walther-Rathenau-Straße 47, 17487 Greifswald, Germany, Phone: +49-3834-86-4646, Fax: +49-3834-86-4640, E-mail:


Received: 2013-09-09

Accepted: 2013-10-18

Published Online: 2013-11-29

Published in Print: 2013-12-01


Citation Information: Bio-Algorithms and Med-Systems, Volume 9, Issue 4, Pages 167–177, ISSN (Online) 1896-530X, ISSN (Print) 1895-9091, DOI: https://doi.org/10.1515/bams-2013-0152.

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