Visualization and GraphicsInteractionDept ICSFaculty of ScienceUU

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Software

This page contains a selection of the various software tools and libraries that I have developed. Text in brackets indicates the main programming languages used. Note that CUDA implies C++.

Important: The software provided here is only available for research purposes. See disclaimer in side bar. For any commercial usage, please contact me.

AFMM

Computes 2D Euclidean distance transforms, feature transforms, and skeletons (C++).

AFMM3D

Computes 3D Euclidean distance transforms, feature transforms, and skeletons (C++).

AreaView

Visualization of UML diagrams with code quality metrics.

binvox

An enhanced (faster, more stable) version of the open-source binvox voxelizer (C/C++).

CUBu

CUDA Universal Bundling framework for huge graphs (CUDA).

CUDASkel2D

Computes 2D Euclidean distance transforms, feature transforms, and skeletons on the GPU (CUDA).

CUDASkelSalience

Computes 2D Euclidean distance transforms, feature transforms, and salience skeletons on the GPU (CUDA).

CUDASkelInteract

Interactive axis-based 3D rotation tool based on image skeletons (CUDA).

CVSgrab, CVSscan

Visualize evolution of CVS and SVN software repositories (C++, C#).

ClonEvol

Extract and visualize evolution of software clones from code repositories.

DataVisualizationBook

Code samples from my data visualization book (C++, OpenGL).

DejaVu

Extract and refactor (eliminate) code clones in Visual Basic (VB).

DenseSkel

Encode grayscale and color images using dense multiscale skeleton descriptors (CUDA).

DenseSkel Benchmark

Benchmark for using dense skeletons for image compression.

DepAnalyze

Extract and visualize evolution of software dependencies in code repositories (C#).

DigitalShave

Digitally remove hairs from dermatoscopic skin imagery (C++).

DreamCode

Visualize structure and metrics of software source code using cushion treemaps (C++).

DTIBundling

Simplification of DTI tracks with trail bundling (C++).

DynProjBenchmark

Benchmark for dynamic projections of time-dependent high-dimensional data (Python).

GCCIE

Extract call and dependency graphs form any C/C++ code base (C++).

Guided Dynamic Projections

Two new methods for projecting high-dimensional time-dependent data (Python).

MemoView

Visualize dynamic memory allocations.

MetaBalls

Render fluids using metaballs created via surface particles (C++).

NNP

Deep learning multidimensional projections (Python).

OptMap

Visualization of high-dimensional optimization methods (Python).

ProjExplain

Compute and visualize quality metrics for multidimensional projections (CUDA).

ProjQuantEval

Benchmark for computing and visualizing dimensionality-reduction quality (Python).

RTTI

Add run-time type information (RTTI) to a C++ program for any C++ compiler (C++).

SkelBenchmark

Benchmark for comparing 3D skeletonization algorithms (data and code).

SkelNoiseRemoval

3D shape denoising using saliency skeletons (C++).

SkelCornerDetection

Skeleton-based corner detector for grayscale images (CUDA).

SkeletonSandbox

Interactive tool to compute and visualize 3D distance transforms and multiscale skeletons (C++).

SoftVision

Programmable visualizations of reverse-engineered software system architectures (C++).

SolidSDD

Extract and visualize source code clones in large code bases (C#).

SolidSX

Extract and visualize dependencies and structure from C#, .NET, and Java code (C#).

SolidTA

Extract and visualize software evolution from code repositories (multiple versions).

Salience-aware Dense Skeletons

Represent an image with dense skeletons driven by image salience metrics (C++).

Self Supervised Neural Projection (SSNP)

Improvement of the NNP algorithm, also providing inverse projection (Python).

TableVision

Programmable table lens and treemap-from-tables visualization framework (C++).

Thesne

Implementation of dynamic t-SNE projection for time-dependent high-dimensional data (Python).

TreemapBenchmark

Benchmark for comparing treemapping methods (Python).

tsNET

Implementation of tsNET graph layout method using t-SNE (Python).