A list of recent papers, libraries and datasets about 3D shape/geometry analysis (by topics, updating).

Automated anatomical brain label/shape analysis software (+ website)

Bayesian coherent point drift for Windows 10

A library for Directional Field Synthesis, Design, and Processing.

code to train a neural network to align pairs of shapes without needing ground truth warps for supervision

An open-source, free comprehensive software that will allow biomedical scientists to precisely locate shape changes in their imaging studies. This software called Slicer Shape AnaLysis Toolbox (SlicerSALT), will enhance the intuitiveness and ease of use for such studies, as well as allow researchers to find shape changes with higher statistical power. Altogether this constitutes a crucial resource for the imaging field that will enable many and important new findings in biomedical imaging studies.

C++ Shape Analysis and Geometry Processing

The MemCAD static analyzer

geometry processing and shape analysis framework

Scientific Visualisation Made Easy

Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.

R package for the collection of shape data using a stereo camera setup

Scyland3D: Processing 3D landmarks

Intrinsic Spatial Pyramid Matching (ISPM) on 3D meshed surfaces.

A Baseline Approach for the AutoImplant Challenge

Source code for 3D volumetric denoising auto-encoder (ECCV-16)

A Shape Finder using Corner-Harris and Heirarchical Clustering

library to modify images and the corresponding landmarks

Repository containing all the codes created for the lab sessions of CSE3018 Content Based Image and Video Retrieval at VIT University Chennai Campus

Object oriented code of our ICCV 2019 oral paper SURFMNet http://openaccess.thecvf.com/content_ICCV_2019/html/Roufosse_Unsupervised_Deep_Learning_for_Structured_Shape_Matching_ICCV_2019_paper.html

A Statistical Framework for Feature Selection and Association Mapping with 3D Shapes

Code for the paper "Scale-aware Black-and-White Abstraction of 3D Shapes" in SIGGRAPH 2018.

This is an implementation of Eurographics 2017 paper 'Fully spectral partial shape matching' using Tensorflow and Pymanopt.

Code for matching curves with Elastic Metrics

Code to Implement the Smooth Euler Characteristic Transform (SECT)

Morphological categorization of neurons in order to explore their functional features has drawn significant attention over past few decades. The enormous complexity in the structure of neurons poses a real challenge in the identification and analysis of similar and dissimilar neuronal cells. Existing methodologies often carry out strutural and geometrical simplifications, which substantially changes the morphological statistics. Using digitally-reconstructed neurons, we extend the work of Path2Path as ElasticP2P, which seamlessly integrates the graph-theoretic and differential-geometric frameworks. By decomposing a neuron into a set of paths, we derive graph metrics, which are path concurrence and path hierarchy. Next, we model each path as an elastic string to compute the geodesic distance between the paths of a pair of neurons. Later, we formulate the problem of finding the distance between two neurons as a path assignment problem with a cost function combining the graph metrics and the geodesic deformation of paths.

Code to produce Weighted Euler Curve Transforms from segmented greyscale image data

Shadow Image Recognizer

Julia: Fractal Image Data Generator

Some python shape matching methods