Transferring Characteristic Proportions to Modify the Artistic Style of Cartoons
Author
Summary, in English
This paper presents a new automatic algorithm
for extracting properties of an individual artist’s
style and applying those properties to other drawings.
The algorithm can be used to ensure consistent artistic
style across a project by automatically transferring
a selected style to hand drawn images. We present an
algorithm that uses multiple stages; subdivision of an
image into selected geons, extraction of corresponding
datasets from additional images, analysis and characterisation
of the artist’s style and finally transferring
the artist’s style to target images. When transferring
the artist’s style we use a complexity sensitive scaling
algorithm to avoid artefacts. We apply this algorithm
to line drawn cartoons and demonstrate that artistic
style can be transferred between cartoon objects. Our
results show that analysis of object proportions can be
used practically to ensure consistency for objects with
the same Geon structure but drawn by di↵erent artists.
for extracting properties of an individual artist’s
style and applying those properties to other drawings.
The algorithm can be used to ensure consistent artistic
style across a project by automatically transferring
a selected style to hand drawn images. We present an
algorithm that uses multiple stages; subdivision of an
image into selected geons, extraction of corresponding
datasets from additional images, analysis and characterisation
of the artist’s style and finally transferring
the artist’s style to target images. When transferring
the artist’s style we use a complexity sensitive scaling
algorithm to avoid artefacts. We apply this algorithm
to line drawn cartoons and demonstrate that artistic
style can be transferred between cartoon objects. Our
results show that analysis of object proportions can be
used practically to ensure consistency for objects with
the same Geon structure but drawn by di↵erent artists.
Department/s
Publishing year
2012
Language
English
Links
Document type
Conference paper
Topic
- Computer Science
Conference name
Computer Graphics International, 2012
Conference date
2012-06-12 - 2012-06-15
Conference place
Bournemouth, United Kingdom
Status
Unpublished
Research group
- Computer Graphics