Abstract
Vector graphics has been employed in a wide variety of applications due to its scalability and editability. Editability is a high priority for artists and designers who wish to produce vector-based graphical content with user interaction. In this paper, we introduce a new vector image representation based on piecewise smooth subdivision surfaces, which is a simple, unified and flexible framework that supports a variety of operations, including shape editing, color editing, image stylization, and vector image processing. These operations effectively create novel vector graphics by reusing and altering existing image vectorization results. Because image vectorization yields an abstraction of the original raster image, controlling the level of detail of this abstraction is highly desirable. To this end, we design a feature-oriented vector image pyramid that offers multiple levels of abstraction simultaneously. Our new vector image representation can be rasterized efficiently using GPU-accelerated subdivision. Experiments indicate that our vector image representation achieves high visual quality and better supports editing operations than existing representations.
| Original language | English (US) |
|---|---|
| Article number | 6165279 |
| Pages (from-to) | 1858-1867 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Visualization and Computer Graphics |
| Volume | 18 |
| Issue number | 11 |
| DOIs | |
| State | Published - Sep 20 2012 |
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Keywords
- Vector graphics
- multiresolution representation
- subdivision surfaces
- vector image editing
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design
Cite this
A subdivision-based representation for vector image editing. / Liao, Zicheng; Hoppe, Hugues; Forsyth, David Alexander; Yu, Yizhou.
In: IEEE Transactions on Visualization and Computer Graphics, Vol. 18, No. 11, 6165279, 20.09.2012, p. 1858-1867.Research output: Contribution to journal › Article
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TY - JOUR
T1 - A subdivision-based representation for vector image editing
AU - Liao, Zicheng
AU - Hoppe, Hugues
AU - Forsyth, David Alexander
AU - Yu, Yizhou
PY - 2012/9/20
Y1 - 2012/9/20
N2 - Vector graphics has been employed in a wide variety of applications due to its scalability and editability. Editability is a high priority for artists and designers who wish to produce vector-based graphical content with user interaction. In this paper, we introduce a new vector image representation based on piecewise smooth subdivision surfaces, which is a simple, unified and flexible framework that supports a variety of operations, including shape editing, color editing, image stylization, and vector image processing. These operations effectively create novel vector graphics by reusing and altering existing image vectorization results. Because image vectorization yields an abstraction of the original raster image, controlling the level of detail of this abstraction is highly desirable. To this end, we design a feature-oriented vector image pyramid that offers multiple levels of abstraction simultaneously. Our new vector image representation can be rasterized efficiently using GPU-accelerated subdivision. Experiments indicate that our vector image representation achieves high visual quality and better supports editing operations than existing representations.
AB - Vector graphics has been employed in a wide variety of applications due to its scalability and editability. Editability is a high priority for artists and designers who wish to produce vector-based graphical content with user interaction. In this paper, we introduce a new vector image representation based on piecewise smooth subdivision surfaces, which is a simple, unified and flexible framework that supports a variety of operations, including shape editing, color editing, image stylization, and vector image processing. These operations effectively create novel vector graphics by reusing and altering existing image vectorization results. Because image vectorization yields an abstraction of the original raster image, controlling the level of detail of this abstraction is highly desirable. To this end, we design a feature-oriented vector image pyramid that offers multiple levels of abstraction simultaneously. Our new vector image representation can be rasterized efficiently using GPU-accelerated subdivision. Experiments indicate that our vector image representation achieves high visual quality and better supports editing operations than existing representations.
KW - Vector graphics
KW - multiresolution representation
KW - subdivision surfaces
KW - vector image editing
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U2 - 10.1109/TVCG.2012.76
DO - 10.1109/TVCG.2012.76
M3 - Article
AN - SCOPUS:84866282595
VL - 18
SP - 1858
EP - 1867
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
SN - 1077-2626
IS - 11
M1 - 6165279
ER -