Difference between revisions of "PCL/OpenNI tutorial 3: Cloud processing (advanced)"
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Most of the techniques seen in the [[PCL/OpenNI tutorial 2: Cloud processing (basic) | previous tutorial]] focused on ''preprocessing'', that is, performing certain operations on the cloud to get it ready for further analysis or work. Downsampling, removing outliers, smoothing the surfaces, estimating the normals... | Most of the techniques seen in the [[PCL/OpenNI tutorial 2: Cloud processing (basic) | previous tutorial]] focused on ''preprocessing'', that is, performing certain operations on the cloud to get it ready for further analysis or work. Downsampling, removing outliers, smoothing the surfaces, estimating the normals... | ||
| − | This new tutorial will teach you | + | This new tutorial will teach you many interesting things that can be done with point clouds after the preparation step, such as registration, segmentation and model matching. |
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Revision as of 10:45, 10 February 2014
Go to root: PhD-3D-Object-Tracking
Most of the techniques seen in the previous tutorial focused on preprocessing, that is, performing certain operations on the cloud to get it ready for further analysis or work. Downsampling, removing outliers, smoothing the surfaces, estimating the normals...
This new tutorial will teach you many interesting things that can be done with point clouds after the preparation step, such as registration, segmentation and model matching.
Go to root: PhD-3D-Object-Tracking
Links to 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)
