Stars
A Python package for fast and robust Image Stitching
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
Real time video stitching using python and opencv
Panorama stitching of images or real-time video streams
A simple version of "GPU based parallel optimization for real time panoramic video stitching".
solve real time video stitching problem： 4 camera example by opencv surf
OpenCV-Python 相机标定及矫正，张正友相机标定法
Python batch lens distortion correction
Camera intrinsic parameters calibration from chessboard video sequence.
Calibrate the camera with ZhangZhengyou method (in both distortion case and no distortion case)
Learning topological manifold representations from point clouds
PyTorch implementation of DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration (BMVC 2021)
[2022 ICML] A Statistical Manifold Framework for Point Cloud Data
3D point cloud denoising using graph Laplacian regularization of a low dimensional manifold model
We present HelipadCat, a dataset of aerial images of helipads, together with a method to identify and locate such helipads from the air.
MATLAB codes and scripts for decomposing and reconstructing manifold-valued curves. Applications such as denoising and anomaly detection are included. The package accommodates synthetic data taking…
Manifold Reconstruction and Denoising from Scattered Data in High Dimension
⛄ Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
Algorithms for computations on random manifolds made easier
Manopt, a Matlab toolbox for optimization on manifolds
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
Computations and statistics on manifolds with geometric structures.
Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.