Automatic image creation via artistic composition principles

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Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator Gooch, Bruce; Shirley, Peter S.
Other Author Moulding, Chris; Nelson, Donald; Riesenfeld, Richard; Smits, Brian
Title Automatic image creation via artistic composition principles
Date 2000
Description Methods for choosing image parameters in both art and computer graphics are currently subjective. The choice of parameters results in images of varying quality. One aspect of image quality is the composition of the image. While the principles underlying composition are somewhat subjective, a portion of the compositional rules can be approximated quantitatively. We use this quantification to design an objective function and use numerical optimization to automatically arrive at images with acceptable composition. For a given subject or scene, the optimization procedure chooses format, view point, layout, and lighting parameters. The resulting image is determined by characteristics the objective function rewards. We show several images generated using such optimization, and argue that these images have good composition.
Type Text
Publisher University of Utah
First Page 0
Last Page 6
Subject Image parameters
Subject LCSH Computer graphics
Language eng
Bibliographic Citation Gooch, B., Moulding, C., Nelson, D., Riesenfeld, R., Shirley, P., & Smits, B. (2000). Automatic image creation via artistic composition principles. UUCS-00-006.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 1,681,729 bytes
Identifier ir-main,15951
ARK ark:/87278/s6jt07z6
Setname ir_uspace
ID 706293
Reference URL https://collections.lib.utah.edu/ark:/87278/s6jt07z6
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