by Liu, D and Klette, R
Abstract:
The skeletal stroke method is a general brush tool which can take a straight vector artwork as “ink”. It is easy to apply, but it is limited by the requirement of straight inputs. To offer additional input options, we present inverse skeletal strokes, a method for straightening warped vector artworks. Our method takes a user stroke to help understanding the structure of an input artwork. The key-idea is finding a set of arcs which show the “directional trend” of the artwork, and map the artwork into a new version in which these arcs are straightened. We propose a measure representing the degree of parallelism between two arcs. Using this measure, we select a set of arcs from the input artwork which are approximately parallel to the given user stroke. This is a condensed representation of a user’s intention. Then we transform the user stroke with the goal to maximize the degree of parallelism to each of the selected approximately parallel arcs. At last, we parametrize the artwork with respect to the optimized stroke, and map it into a straight version.
Reference:
Inverse skeletal strokes (Liu, D and Klette, R), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, volume 8334, 2014.
Bibtex Entry:
@inproceedings{liu2014inversestrokes,
author = "Liu, D and Klette, R",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "1--11",
publisher = "Springer Verlag",
title = "Inverse skeletal strokes",
volume = "8334",
year = "2014",
abstract = "The skeletal stroke method is a general brush tool which can take a straight vector artwork as “ink”. It is easy to apply, but it is limited by the requirement of straight inputs. To offer additional input options, we present inverse skeletal strokes, a method for straightening warped vector artworks. Our method takes a user stroke to help understanding the structure of an input artwork. The key-idea is finding a set of arcs which show the “directional trend” of the artwork, and map the artwork into a new version in which these arcs are straightened. We propose a measure representing the degree of parallelism between two arcs. Using this measure, we select a set of arcs from the input artwork which are approximately parallel to the given user stroke. This is a condensed representation of a user’s intention. Then we transform the user stroke with the goal to maximize the degree of parallelism to each of the selected approximately parallel arcs. At last, we parametrize the artwork with respect to the optimized stroke, and map it into a straight version.",
isbn = "9783642539251",
issn = "0302-9743",
eissn = "1611-3349",
keyword = "Artwork",
keyword = "Parallelism",
keyword = "Skeletal strokes",
keyword = "Straightening of patterns",
language = "eng",
}