October 2015
Intermediate to advanced
230 pages
5h 10m
English
Content preview from OpenCV with Python BlueprintsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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3D point cloud visualization
The last step is visualizing the triangulated 3D real-world points. An easy way of creating 3D scatterplots is by using matplotlib. However, if you are looking for more professional visualization tools, you may be interested in Mayavi (http://docs.enthought.com/mayavi/mayavi), VisPy (http://vispy.org), or the Point Cloud Library (http://pointclouds.org). Although the latter does not have Python support for point cloud visualization yet, it is an excellent tool for point cloud segmentation, filtering, and sample consensus model fitting. For more information, head over to strawlab's GitHub repository at https://github.com/strawlab/python-pcl.
Before we can plot our 3D point cloud, we obviously have to extract the [R | ...
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