Advanced tool for generating point clouds that can be used with the meshless Generalized Finite Differences (mGFD) method
Everything you need to generate high-quality point clouds
Create geometric contours interactively from images. Uses advanced segmentation algorithms to automatically detect regions.
Generate unstructured point clouds from CSV files. Automatically optimizes point distribution according to geometry for mGFD simulations.
Visualize your generated point clouds directly in the browser. Inspect node distribution, regions, and boundary classifications with high-quality 2D plots.
Calculate and analyze neighbor relationships within your point clouds. Essential for mGFD connectivity analysis and validation.
Learn more about the development team, methodology used, and research objectives of the project.
Complete process from image to unstructured point cloud
Start by uploading your image containing regions of interest. Our system supports multiple formats and provides instant preview with quality validation.
Advanced computer vision algorithms automatically identify and extract geometric contours with sub-pixel precision, ensuring accurate boundary detection.
Extract and export contour coordinates in industry-standard CSV format, ready for integration with your computational workflow and analysis tools.
Transform contours into optimized unstructured point clouds using advanced algorithms specifically designed for mGFD computational efficiency.
Detailed visualization of generated point clouds with comprehensive analysis tools, quality metrics, and multiple export formats for your research needs.
Advanced capabilities that set our platform apart
Advanced flood fill and equidistant contour sampling algorithms automatically identify geometric regions and guarantee mathematically uniform node spacing for complex boundaries.
Generates optimized point clouds with adaptive density based on geometric complexity. Preserves contour nodes and uses topological fallbacks to guarantee valid sub-domains.
Generates detailed 2D visualizations with node classification, boundary highlighting, and quality analysis. Exports high-resolution images and SVG graphics suitable for scientific publications.
Exports point cloud data in CSV format with comprehensive node classification including boundary, interface, and interior node types. Compatible with scientific computing workflows and mGFD solvers.