English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Perceptual reparameterization of material properties

Cunningham, D., Wallraven, C., Fleming, R., & Strasser, W. (2007). Perceptual reparameterization of material properties. In Computational aesthetics 2007: Eurographics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging (pp. 89-96). Aire-la-Ville, Switzerland: Eurographics Association.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-CD67-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-E28E-E
Genre: Conference Paper

Files

show Files

Locators

show
hide
Description:
-

Creators

show
hide
 Creators:
Cunningham, DW, Author              
Wallraven, C1, 2, Author              
Fleming, RW1, 2, Author              
Strasser, W, Author
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: The recent increase in both the range and the subtlety of computer graphics techniques has greatly expanded the possibilities for synthesizing images. In many cases, however, the relationship between the parameters of an algorithm and the resulting perceptual effect is not straightforward. Since the ability to produce specific, intended effects is a natural pre-requisite for many scientific and artistic endeavors, this is a strong drawback. Here, we demonstrate a generalized method for determining both the qualitative and quantitative mapping between parameters and perception. Multidimensional Scaling extracts the metric structure of perceived similarity between the objects, as well as the transformation between similarity space and parameter space. Factor analysis of semantic differentials is used to determine the aesthetic structure of the stimulus set. Jointly, the results provide a description of how specific parameter changes can produce specific semantic changes. The method is demonstrated using two datasets. The first dataset consisted of glossy objects, which turned out to have a 2D similarity space and five primary semantic factors. The second dataset, transparent objects, can be described with a non-linear, 1D similarity map and six semantic factors. In both cases, roughly half of the factors represented aesthetic aspects of the stimuli, and half the low-level material properties. Perceptual reparameterization of computer graphics algorithms (such as those dealing with the representation of surface properties) offers the potential to improve their accessibility. This will not only allow easier generation of specific effects, but also enable more intuitive exploration of different image properties.

Details

show
hide
Language(s):
 Dates: 2007-06
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.2312/COMPAESTH/COMPAESTH07/089-096
BibTex Citekey: 4467
 Degree: -

Event

show
hide
Title: Eurographics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging (CAe '07)
Place of Event: Banff, Alberta, Canada
Start-/End Date: 2007-06-20 - 2007-06-22

Legal Case

show

Project information

show

Source 1

show
hide
Title: Computational aesthetics 2007: Eurographics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging
Source Genre: Proceedings
 Creator(s):
Cunningham, DW1, Author            
Meyer, GW, Author
Neumann, L, Author
Dunning, A, Author
Paricio, R, Author
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Aire-la-Ville, Switzerland : Eurographics Association
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 89 - 96 Identifier: ISBN: 978-3-905673-43-2