VisualHullArt is a Python project that generates artistic 3D reconstructions using the visual hull technique. It processes silhouette images from multiple viewpoints to create 3D voxel models, which are then rendered with artistic effects for unique visual outputs. This repository is ideal for enthusiasts of computer vision, 3D modeling, and digital art.

• Visual Hull Reconstruction: Constructs 3D voxel models from 2D silhouette images.
• Artistic Rendering: Applies effects like watercolor, sketch, or neon to 3D models.
• Multi-View Processing: Supports input from multiple camera angles for accurate reconstructions.
• Export Options: Saves outputs as 3D models (OBJ) or rendered images (PNG/JPG).

1. Clone the repository:

   git clone https://github.com/xzhang311/VisualHullArt.git

2. Navigate to the project directory:

   cd VisualHullArt

3. Install dependencies:

   pip install -r requirements.txt

Run the main script to generate a 3D model and apply an artistic effect:

python main.py --silhouettes path/to/silhouette_folder --output path/to/output.obj --effect sketch

Available effects include sketch, watercolor, neon, and more. Use the --help flag for details:

python main.py --help

• Python 3.8+
• Libraries: NumPy, OpenCV, VTK, Matplotlib (listed in requirements.txt)

Contributions are welcome! Fork the repository, create a feature branch, and submit a pull request with your enhancements.

This project is licensed under the MIT License. See the LICENSE file for details.

Built with inspiration from research in visual hull algorithms and open-source 3D rendering tools.