Vision processing.
Link to Doxygen generated documentation: https://robots.uc3m.es/vision/
Installation instructions for installing from source can be found here.
- Fork the repository
- Create your feature branch (
git checkout -b my-new-feature
) off themaster
branch, following the Forking Git workflow - Commit your changes
- Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request
If you found this project useful, please consider citing the following works:
Bartek Łukawski, Alberto Rodríguez-Sanz, Elisabeth Menendez, Juan G. Victores, and Carlos Balaguer. A user-friendly point cloud processing pipeline for interfacing PCL with YARP. In XLV Jornadas de Automática. Universidade da Coruña, 2024.
@inproceedings{lukawski2024jjaa,
author = {{\L}ukawski, Bartek and Rodríguez-Sanz, Alberto and Menendez, Elisabeth and Victores, Juan G. and Balaguer, Carlos},
title = {A user-friendly point cloud processing pipeline for interfacing {PCL} with {YARP}},
booktitle = {XLV Jornadas de Automática},
year = {2024},
publisher = {Universidade da Coruña},
doi = {10.17979/ja-cea.2024.45.10925},
}
- GRIP (WPIRoboticsProjects/GRIP): A tool for developing computer vision algorithms interactively. We have used it for several projects, including asrob-uc3m/air-hockey. tutorial.
- TVM (dmlc/tvm): Open Deep Learning Compiler Stack
- PCL (PointCloudLibrary/pcl): 2D/3D image and point cloud processing
- CloudCompare/CloudCompare: A 3D point cloud (and triangular mesh) processing software
- pmp-library/pmp-library: Interactive cloud visualization and processing tools
- MIT-SPARK/Kimera-VIO: Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation
- NVlabs/BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
- YARP
- ViSP (lagadic/visp): Visual Servoing Platform
- YARP
- roboticslab-uc3m
- teo-follow-me
- legacy-matlab-visual-servo (legacy)