User Tools

Site Tools


ece4580:module_pcd

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
ece4580:module_pcd [2017/04/08 21:58] pvelaece4580:module_pcd [2024/08/20 21:38] (current) – external edit 127.0.0.1
Line 1: Line 1:
 +~~NOTOC~~
 ====== Point Clouds Processing and Interpretation ====== ====== Point Clouds Processing and Interpretation ======
  
Line 18: Line 19:
  
 ===== 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:Module_PCD:ICP | Week 1]]: Aligning matching point clouds   - [[ECE4580:Module_PCD:ICP | Week 1]]: Aligning matching point clouds
   - [[ECE4580:Module_PCD:Moments | Week 2]]: A Basic point cloud descriptor   - [[ECE4580:Module_PCD:Moments | Week 2]]: A Basic point cloud descriptor
-  - [[ECE4580:Module_PCD:Descriptors | week 3]]: Local descriptors.+  - [[ECE4580:Module_PCD:Descriptors | Week 3]]: Local descriptors.
  
---------------------------------- 
-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://cs.gmu.edu/~kosecka/cs685/cs685-icp.pdf|ICP]], then implement in Matlab. +
- +
-MORE DESCRIPTION NEEDED HERE. +
- +
-/* +
-For Matlab folks, an exemplar implementation of ICP can be found [[https://www.mathworks.com/help/vision/examples/3-d-point-cloud-registration-and-stitching.html|here]]. Try to implement your own version of ICP. +
- +
-For PCL folks, you may refer to the [[http://pointclouds.org/documentation/tutorials/iterative_closest_point.php#iterative-closest-point|sample code]]. Try to implement your own version of ICP. +
-*/+
  
 __** Week #X: Point Cloud Segmentation **__ \\ __** Week #X: Point Cloud Segmentation **__ \\
Line 51: Line 39:
 */ */
  
-__** 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: ''pdist2'' //Notes:// Matlab function: ''pdist2''
- +*/
-===== 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)