License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08422.11
URN: urn:nbn:de:0030-drops-18689
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2009/1868/
Go to the corresponding Portal

Koch, Michael ; Denzler, Joachim ; Redies, Christoph

Universal Image Statistics as a Basis for Esthetic Perception

pdf-format:
08422.KochMichael.ExtAbstract.1868.pdf (0.1 MB)

Abstract

In the last decades many neuroscientists have started to investigate the perception of nature and art by the human visual system.
Natural scenes lead to an esthetically pleasing perception, therefore scientists have begun to research the reasons to understand the processing principles of the human visual system.


BibTeX - Entry

@InProceedings{koch_et_al:DagSemProc.08422.11,
  author =	{Koch, Michael and Denzler, Joachim and Redies, Christoph},
  title =	{{Universal Image Statistics as a Basis for Esthetic Perception}},
  booktitle =	{Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8422},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2009/1868},
  URN =		{urn:nbn:de:0030-drops-18689},
  doi =		{10.4230/DagSemProc.08422.11},
  annote =	{Keywords: Esthetic, Aesthetic, PCA, Power Spectrum, Principal Component Analysis}
}

Keywords: Esthetic, Aesthetic, PCA, Power Spectrum, Principal Component Analysis
Collection: 08422 - Klausurtagung Lehrstuhl Joachim Denzler
Issue Date: 2009
Date of publication: 29.01.2009

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI