Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication.

Papers and Datasets about Point Cloud.

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Users and authentication management SaaS

User-related REST API based on the awesome Django REST Framework

Pure Numpy Implementation of the Coherent Point Drift Algorithm

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

[CVPR 2020 Oral] A differentiable framework for 3D registration

Django registration and authentication with GraphQL.

Functional Data Analysis Python package

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

a token based matrix registration api

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

[CVPR2019 Oral] Self-supervised Point Cloud Map Estimation

A tool to align astronomical images based on asterism matching