MonoRec
ov2slam
MonoRec | ov2slam | |
---|---|---|
1 | 1 | |
565 | 545 | |
- | - | |
0.9 | 0.0 | |
about 1 year ago | almost 3 years ago | |
Python | C++ | |
MIT License | GNU General Public License v3.0 only |
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MonoRec
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Questions for SLAM/SfM for Dense 3D Reconstruction (DSO vs ORB, Monofusion etc.)
I've stumbled upon this and that using DL, and will try to check to simultaneously evaluate them next to developing something using pySLAM. At least that's the current plan.
ov2slam
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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
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.
OpenChisel - An open-source version of the Chisel chunked TSDF library.
pixel-perfect-sfm - Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
voxblox - A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
openvslam - OpenVSLAM: A Versatile Visual SLAM Framework
DeFMO - [CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
stella_vslam - This is a unofficial fork of OpenVSLAM (https://github.com/xdspacelab/openvslam)