Repository Summary
Checkout URI | https://github.com/wg-perception/transparent_objects.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2017-11-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
object_recognition_transparent_objects | 0.4.3 |
README
Transparent objects
This module enables recognition and pose estimation of transparent objects. See the References for details of the algorithm.
Installation
The module is a part of the Recognition Kitchen so all you need to do is to install the Kitchen. See http://ecto.willowgarage.com/recognition/ for installation instructions.
Using
For a sample how to use the algorithm see the sample/sample.cpp
file.
This sample is compiled into the bin
directory. You can run it by
passing the path to the sample
directory as the command line
parameter, for example:
./bin/sample ../or-transparent-objects/sample/
Getting help
Feel free to contact maintainers if you have any questions or comments.
References
Ilya Lysenkov, Victor Eruhimov, and Gary Bradski, "Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor," 2013 Robotics: Science and Systems Conference (RSS), 2013.
Ilya Lysenkov, and Vincent Rabaud, "Pose Estimation of Rigid Transparent Objects in Transparent Clutter", 2013 IEEE International Conference on Robotics and Automation (ICRA), 2013.
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/wg-perception/transparent_objects.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2017-11-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
object_recognition_transparent_objects | 0.4.3 |
README
Transparent objects
This module enables recognition and pose estimation of transparent objects. See the References for details of the algorithm.
Installation
The module is a part of the Recognition Kitchen so all you need to do is to install the Kitchen. See http://ecto.willowgarage.com/recognition/ for installation instructions.
Using
For a sample how to use the algorithm see the sample/sample.cpp
file.
This sample is compiled into the bin
directory. You can run it by
passing the path to the sample
directory as the command line
parameter, for example:
./bin/sample ../or-transparent-objects/sample/
Getting help
Feel free to contact maintainers if you have any questions or comments.
References
Ilya Lysenkov, Victor Eruhimov, and Gary Bradski, "Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor," 2013 Robotics: Science and Systems Conference (RSS), 2013.
Ilya Lysenkov, and Vincent Rabaud, "Pose Estimation of Rigid Transparent Objects in Transparent Clutter", 2013 IEEE International Conference on Robotics and Automation (ICRA), 2013.
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/wg-perception/transparent_objects.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2017-11-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
object_recognition_transparent_objects | 0.4.3 |
README
Transparent objects
This module enables recognition and pose estimation of transparent objects. See the References for details of the algorithm.
Installation
The module is a part of the Recognition Kitchen so all you need to do is to install the Kitchen. See http://ecto.willowgarage.com/recognition/ for installation instructions.
Using
For a sample how to use the algorithm see the sample/sample.cpp
file.
This sample is compiled into the bin
directory. You can run it by
passing the path to the sample
directory as the command line
parameter, for example:
./bin/sample ../or-transparent-objects/sample/
Getting help
Feel free to contact maintainers if you have any questions or comments.
References
Ilya Lysenkov, Victor Eruhimov, and Gary Bradski, "Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor," 2013 Robotics: Science and Systems Conference (RSS), 2013.
Ilya Lysenkov, and Vincent Rabaud, "Pose Estimation of Rigid Transparent Objects in Transparent Clutter", 2013 IEEE International Conference on Robotics and Automation (ICRA), 2013.
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/wg-perception/transparent_objects.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2017-11-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
object_recognition_transparent_objects | 0.4.3 |
README
Transparent objects
This module enables recognition and pose estimation of transparent objects. See the References for details of the algorithm.
Installation
The module is a part of the Recognition Kitchen so all you need to do is to install the Kitchen. See http://ecto.willowgarage.com/recognition/ for installation instructions.
Using
For a sample how to use the algorithm see the sample/sample.cpp
file.
This sample is compiled into the bin
directory. You can run it by
passing the path to the sample
directory as the command line
parameter, for example:
./bin/sample ../or-transparent-objects/sample/
Getting help
Feel free to contact maintainers if you have any questions or comments.
References
Ilya Lysenkov, Victor Eruhimov, and Gary Bradski, "Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor," 2013 Robotics: Science and Systems Conference (RSS), 2013.
Ilya Lysenkov, and Vincent Rabaud, "Pose Estimation of Rigid Transparent Objects in Transparent Clutter", 2013 IEEE International Conference on Robotics and Automation (ICRA), 2013.