A large scale non-linear optimization library
-
Updated
Jul 22, 2024 - C++
A large scale non-linear optimization library
Bundler Structure from Motion Toolkit
An Invitation to 3D Vision: A Tutorial for Everyone
Low cost motion capture system for room scale tracking
A toolbox for mapping and localization with line features.
Python binding of SLAM graph optimization framework g2o
OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications
Python implementation of SLAM algorithm Stereo-PTAM
A CUDA implementation of Bundle Adjustment
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
Machine Vision Toolbox for MATLAB
DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)
Bundle adjustment demo using Ceres Solver, with customized cost function and local parameterization on SE(3)
Multicamera Calibration + Pose Estimation --> Open Source Motion Capture
[TASE & ISMAR'18] A Fast and Flexible Projector-Camera Calibration System
Machine vision toolbox for Python
A Bundle Adjustment solver for MatchMove related tasks.
State Estimation for SLAM: Filter(EKF, Particle Filter), MAP(GN, LM), Solver(Ceres-Solver, G2O, GTSAM), Bundle Adjustment
Python implementation of RGBD-PTAM algorithm
Add a description, image, and links to the bundle-adjustment topic page so that developers can more easily learn about it.
To associate your repository with the bundle-adjustment topic, visit your repo's landing page and select "manage topics."