Difference between revisions of "PhD-3D-Object-Tracking"
From robotica.unileon.es
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* '''Project name:''' PhD-3D-Object-Tracking | * '''Project name:''' PhD-3D-Object-Tracking | ||
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* '''Dates:''' October 2011 - | * '''Dates:''' October 2011 - | ||
− | + | * '''Degree:''' PhD | |
− | * '''Degree:''' | + | * '''Author:''' [[User:Victorm | Víctor Rodríguez]] |
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− | * '''Author:''' Víctor Rodríguez | ||
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* '''Contact:''' vrodm [at] unileon [dot] es | * '''Contact:''' vrodm [at] unileon [dot] es | ||
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* '''Tags:''' 3d, object tracking, depth sensor, rgbd, point cloud | * '''Tags:''' 3d, object tracking, depth sensor, rgbd, point cloud | ||
+ | * '''Technologies:''' kinect, xtion, pcl, openni, c++, cmake | ||
+ | * '''Status:''' Ongoing | ||
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− | + | =PCL/OpenNI articles= | |
− | + | [[PCL/OpenNI tutorial 0: The very basics]] | |
− | [[PCL/OpenNI tutorial 1: | + | [[PCL/OpenNI tutorial 1: Installing and testing]] |
[[PCL/OpenNI tutorial 2: Cloud processing (basic)]] | [[PCL/OpenNI tutorial 2: Cloud processing (basic)]] | ||
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[[PCL/OpenNI tutorial 4: 3D object recognition (descriptors)]] | [[PCL/OpenNI tutorial 4: 3D object recognition (descriptors)]] | ||
− | [[PCL/OpenNI tutorial 5: 3D object recognition ( | + | [[PCL/OpenNI tutorial 5: 3D object recognition (pipeline)]] |
[[PCL/OpenNI troubleshooting]] | [[PCL/OpenNI troubleshooting]] | ||
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+ | You can get the accompanying files and resources [http://robotica.unileon.es/~victorm/ here]. |
Latest revision as of 09:59, 15 December 2014
- Project name: PhD-3D-Object-Tracking
- Dates: October 2011 -
- Degree: PhD
- Author: Víctor Rodríguez
- Contact: vrodm [at] unileon [dot] es
- Tags: 3d, object tracking, depth sensor, rgbd, point cloud
- Technologies: kinect, xtion, pcl, openni, c++, cmake
- Status: Ongoing
PCL/OpenNI articles
PCL/OpenNI tutorial 0: The very basics
PCL/OpenNI tutorial 1: Installing and testing
PCL/OpenNI tutorial 2: Cloud processing (basic)
PCL/OpenNI tutorial 3: Cloud processing (advanced)
PCL/OpenNI tutorial 4: 3D object recognition (descriptors)
PCL/OpenNI tutorial 5: 3D object recognition (pipeline)
You can get the accompanying files and resources here.