ece4580:module_pcd
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====== Point Clouds Processing and Interpretation ====== | ====== Point Clouds Processing and Interpretation ====== | ||
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===== Module #2: Point Cloud Algorithms ===== | ===== Module #2: Point Cloud Algorithms ===== | ||
+ | --------------------------------------------- | ||
Here we cover 1) point cloud registration and 2) point cloud descriptor extraction. | Here we cover 1) point cloud registration and 2) point cloud descriptor extraction. | ||
- [[ECE4580: | - [[ECE4580: | ||
- [[ECE4580: | - [[ECE4580: | ||
- | - [[ECE4580: | + | - [[ECE4580: |
- | --------------------------------- | ||
- | Here we cover 3) point cloud descriptor extraction, 4) point cloud registration | ||
- | __** Week #1: Point Cloud Registration **__ \\ | + | ===== Ignore ===== |
- | + | ||
- | A commonly used and somewhat simple method for registering two point clouds (that presumably are of the same object or have significant similar structure), is to use what is called Iterative Closest Point (ICP). | + | |
- | Read up on [[http:// | + | |
- | + | ||
- | MORE DESCRIPTION NEEDED HERE. | + | |
- | + | ||
- | /* | + | |
- | For Matlab folks, an exemplar implementation of ICP can be found [[https:// | + | |
- | + | ||
- | For PCL folks, you may refer to the [[http:// | + | |
- | */ | + | |
__** Week #X: Point Cloud Segmentation **__ \\ | __** Week #X: Point Cloud Segmentation **__ \\ | ||
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*/ | */ | ||
- | __** Week #X: Cloud Proximity to Another Cloud | + | /*__** Week #X: Cloud Proximity to Another Cloud |
Get set of points that a given point cloud is near to relative to another point cloud. | Get set of points that a given point cloud is near to relative to another point cloud. | ||
//Notes:// Matlab function: '' | //Notes:// Matlab function: '' | ||
- | + | */ | |
- | ===== Module #3: Object Recognition with Point Clouds ===== | + | |
- | ----------------------------------- | + | |
- | TO BE WRITTEN. | + | |
-------- | -------- |
ece4580/module_pcd.1491703129.txt.gz · Last modified: 2024/08/20 21:38 (external edit)