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Measuring stipple aesthetics in hand-drawn and computer-generated images

  • Ross Maciejewski(corresponding author)
    ,
  • Tobias Isenberg
    ,
  • William M Andrews
    ,
  • David S. Ebert
    ,
  • Mario Costa Sousa
    ,
  • Wei Chen
*Corresponding author for this work
  • Purdue University
    ,
  • University of Groningen
    ,
  • Medical Illustration
    ,
  • University of Calgary
    ,
  • Zhejiang University
Scholary Output:
Contribution to journal
Article
 Peer-review

Abstract

When people compare a computer-generated illustration to a hand-drawn illustration of the same object, they usually perceive differences. This seems to indicate that the two kinds of images follow different aesthetic principles. To explore and explain these differences, the authors compare texture stippling in hand-drawn and computer-generated illustrations, using image-processing analysis techniques.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
 Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 62-74 (13 pages)

Journal (Volume, Issue Number)

IEEE Computer Graphics and Applications (Volume 28, Issue 2)

Publication milestones

  • Published - 03/2008

Publication status

Published - 03/2008

ISSN

0272-1716

Publication IDs

  • Scopus: 41349083363
  • PubMed: 18350934

Access to documents

Publication metrics

Metrics

SciVal
FWCI
3.49
SciVal
Author count
6
SciVal
citations
26
SciVal
Paper percentile
79
Fractional count
1
Fractional count
0.17
Fractional count
5
Fractional count
0.83
Fractional count
1
Fractional count
1
Scopus
citations
32, opens in new tab

PlumX, opens in new tab

Citation count
33
Captures
25

Funding Details

We thank Emily Damstra, Tobias Germer, Gerald P. Hodge, Aidong Lu, Adrian Secord, and Andrew Swift for providing the stipple images used in this article or the software for producing them. We also thank Edward Delp for his discussions on gray-level co-occurrence matrices. Our work is supported by the National Science Foundation under grants 0081581, 0121288, and 0328984 and by Alberta Ingenuity. It is also supported by discovery grants from the Natural Sciences and Engineering Research Council of Canada. Wei Chen is supported by the National Science Foundation of China under grant 60503056 and by the 863 program of China (2006AA01Z314).