Title
Abstract Line Drawings from 2D Images
Abstract
We present a novel scheme for automatically generating line drawings from 2D images, aiming to facilitate effective visual communication. In contrast to conventional edge detectors, our technique imitates the human line drawing process and consists of two parts: line extraction and line rendering. We propose a novel line extraction method based on likelihood-function estimation, which effectively finds the genuine shape boundaries. We consider the feature scale and the blurriness of lines with which the detail and the focus-level of lines are controlled in the rendering. We also employ stroke textures to provide a variety of illustration styles. Experimental results demonstrate that our technique generates various kinds of line drawings from 2D images enabled by the control over detail, focus, and style.
Year
DOI
Venue
2007
10.1109/PG.2007.9
Pacific Conference on Computer Graphics and Applications
Keywords
DocType
ISSN
art,brightness,graphical user interfaces,lighting,realistic images,rendering (computer graphics),all-frequency lighting,appearance-based user interface,art,graphical rendering,illumination brush,interactive design,inverse shading problem,precomputed radiance transfer,realistic image-based lighting environment design,spherical radial basis function representation
Conference
1550-4085
ISBN
Citations 
PageRank 
0-7695-3009-5
6
0.51
References 
Authors
51
4
Name
Order
Citations
PageRank
Minjung Son1463.30
Henry Kang245417.87
Yunjin Lee339921.22
Seungyong Lee42130157.29