Automatic Generation of Pencil Drawing from 2D Images Using Line Integral Convolution
Author(s): Xiaoyang Mao, Yoshiyasu Nagasaka, Atsumi Imamiya.
Proceedings: 7th International Conference on Computer Aided Design and Computer Graphics (CAD/GRAPHICS'01), pp. 240--248, August,
2001.
[BibTeX] 
Abstract:
In this paper, we propose a new technique for automatically generating pencil drawing from 2D images using line integral convolution. Our idea is inspired by the similarity between the stroke textures of pencil drawings and the flow textures generated with line integral convolution. We succeeded in creating pencil drawings with their tone matching that of the original images simply by taking the vector field defining stroke directions and the white noise images generated by referring to the intensity of the original images as the input to the line integral convolution algorithm. By employing the texture analysis techniques, we also succeeded in automatically orienting strokes in the directions that convey the textures of objects appropriately.