ML Anthology

Example-Based Facial Sketch Generation with Non-Parametric Sampling

Hong Chen, Ying-Qing Xu, Heung-Yeung Shum, Song Chun Zhu, Nanning Zheng
ICCV 2001 pp. 433-438
doi:10.1109/ICCV.2001.937657 /iccv/2001/chen2001iccv-example/

Abstract

In this paper, we present an example-based facial sketch system. Our system automatically generates a sketch from an input image, by learning from example sketches drawn with a particular style by an artist. There are two key elements in our system: a non-parametric sampling method and a flexible sketch model. Given an input image pixel and its neighborhood, the conditional distribution of a sketch point is computed by querying the examples and finding all similar neighborhoods. An "expected sketch image" is then drawn from the distribution to reflect the drawing style. Finally, facial sketches are obtained by incorporating the sketch model. Experimental results demonstrate the effectiveness of our techniques.

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Cite

Text

Chen et al. "Example-Based Facial Sketch Generation with Non-Parametric Sampling." IEEE/CVF International Conference on Computer Vision, 2001. doi:10.1109/ICCV.2001.937657

Markdown

[Chen et al. "Example-Based Facial Sketch Generation with Non-Parametric Sampling." IEEE/CVF International Conference on Computer Vision, 2001.](https://mlanthology.org/iccv/2001/chen2001iccv-example/) doi:10.1109/ICCV.2001.937657

BibTeX

@inproceedings{chen2001iccv-example,
  title     = {{Example-Based Facial Sketch Generation with Non-Parametric Sampling}},
  author    = {Chen, Hong and Xu, Ying-Qing and Shum, Heung-Yeung and Zhu, Song Chun and Zheng, Nanning},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2001},
  pages     = {433-438},
  doi       = {10.1109/ICCV.2001.937657},
  url       = {https://mlanthology.org/iccv/2001/chen2001iccv-example/}
}