ov2slam
stella_vslam
ov2slam | stella_vslam | |
---|---|---|
1 | 1 | |
545 | 835 | |
- | 1.7% | |
0.0 | 8.0 | |
almost 3 years ago | 4 days ago | |
C++ | C++ | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ov2slam
-
Questions for SLAM/SfM for Dense 3D Reconstruction (DSO vs ORB, Monofusion etc.)
For instance you could go with : https://github.com/ov2slam/ov2slam , add some processing on the keyframes for depth maps computation and then fuse the depth maps in a TSDF using https://github.com/personalrobotics/OpenChisel or https://github.com/ethz-asl/voxblox
stella_vslam
-
[Question] Camera position estimation for VR
https://github.com/stella-cv/stella_vslam Also you'll need the IMU
What are some alternatives?
pyslam - pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
visual-slam-roadmap - Roadmap to become a Visual-SLAM developer in 2023
pixel-perfect-sfm - Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
openvslam - OpenVSLAM: A Versatile Visual SLAM Framework
orb_slam_2_ros - A ROS implementation of ORB_SLAM2
OpenChisel - An open-source version of the Chisel chunked TSDF library.
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
voxblox - A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
MonoRec - Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
AlvaAR - World tracking for WebAR. A Javascript library for Augmented Reality to run SLAM in the browser.