This is a replication of the following article:
Weighted Voronoi Stippling, Adrian Secord. In: Proceedings of the 2nd International Symposium on Non-photorealistic Animation and Rendering. NPAR ’02. ACM, 2002, pp. 37– 43.
where the author introduced a techniques for generating stipple drawings from grayscale images using weighted centroidal Voronoi diagrams as in the traditional artistic technique of stippling that places small dots of ink onto paper such that their density give the impression of tone.
This replication has been written and tested on OSX 10.12 (Sierra) using the following packages:
- Python 3.6.0
- Numpy 1.12.0
- Scipy 0.18.1
- Matplotlib 2.0.0
- tqdm 4.11.2
- Pillow 4.0.0
Original data is in the data directory and you can also obtain it from Adrian Secord homepage.
usage: stippler.py [--n_iter n] [--n_point n] [--save] [--force]
[--pointsize min,max] [--figsize w,h]
[--display] [--interactive] file
Weighted Vororonoi Stippler
positional arguments:
file Density image filename
optional arguments:
-h, --help show this help message and exit
--n_iter n Maximum number of iterations
--n_point n Number of points
--pointsize (min,max) (min,max)
Point mix/max size for final display
--figsize w,h Figure size
--force Force recomputation
--save Save computed points
--display Display final result
--interactive Display intermediate results (slower)