PCL Tutorial at CRV 2012


When: May 27, 2012

Where: Ninth Conference on Computer and Robot Vision (CRV 2012), Toronto, Ontario, Canada.

Location: York University, Technology and Enhanced Learning (TEL) building (building 39 on pdf map).


List of speakers:

Short description:

With the advent of new, low-cost hardware such as OpenNI compatible cameras (Kinect, Asus Xtion) and continued efforts in advanced open source 3D point cloud processing, 3D perception gains more and more importance in robotics, as well as other fields. This workshop attempts to motivate new developers and ideas to delve into this subject, by offering a tutorial on point cloud processing using the emerging Point Cloud Library (PCL). Our goal is to provide an excellent reference material for students and researchers interested in this subject and take our guests through a complete application demonstration (given live) that combines subjects such as segmentation, surface reconstruction, occlusion detection, point cloud compression, efficient search and object recognition.


Schedule: (tentative)

TimePresenter Session title
9:00 am - 9:30 am Alexandru Eugen Ichim Introduction to PCL (presentation)
9:30 am - 10:00 am Alexandru Eugen Ichim Surface reconstruction with PCL (presentation)
10:00 am - 10:30 am David Meger Point cloud segmentation using PCL (presentation)
10:30 am - 11:00 am
Coffee Break
11:00 am - 11:30 am Julius Kammerl Spatial Search, Point Cloud Compression and Change Detection using Octrees (presentation)
11:30 am - 12:00 pm Christian Potthast Occlusion estimation in Octrees (presentation)
12:00 pm - 12:30 pm Marius Muja Search in PCL, the FLANN library (presentation)


Before the tutorial starts, please make sure that: