DocumentCode
1464136
Title
A Subdivision-Based Representation for Vector Image Editing
Author
Liao, Zicheng ; Hoppe, Hugues ; Forsyth, David ; Yu, Yizhou
Author_Institution
Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Volume
18
Issue
11
fYear
2012
Firstpage
1858
Lastpage
1867
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.
Keywords
computer graphics; feature extraction; graphics processing units; image colour analysis; image representation; user interfaces; GPU-accelerated subdivision; color editing; feature-oriented vector image pyramid; flexible framework; high visual quality; image stylization; image vectorization; original raster image abstraction; piecewise smooth subdivision surfaces; shape editing; subdivision-based image representation; unified framework; user interaction; vector graphics; vector image editing; vector image processing; vector image representation; vector-based graphical content; Image color analysis; Image edge detection; Image representation; Image resolution; Shape; Vectors; Vector graphics; multiresolution representation; subdivision surfaces; vector image editing;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2012.76
Filename
6165279
Link To Document