Kelowna, British Columbia, 25-27 May 2009 A free day of tutorials was held on Sunday May 24, 2009 in conjuction with the CRV conference. The tutorial day consisted of many short 15-30 minute presentations in areas of interest to CRV attendees. The topics are areas of importance in computer vision and robotics, and specifically on subjects presented in the following days at the conference itself. The philosopy of the tutorial day was to cover the most basic concepts, equations, and most referenced papers in each area. The material will intended not be the speaker’s latest results, but rather the essential basics, and should be useful to new students and seasoned researchers alike. Most of the presentation slides are up, check back in a few weeks for the videos of the talks. Tutorial Schedule 8:30-10:30am Tutorial session #1 : Robotics Part I 8:30-8:55 - Kalman filters - Mark Fiala (Ryerson) - slides - video: wmv, mp4, ogg 8:55-9:20 - SLAM Techniques and Algorithms - Jack Collier (Defence R&D Canada) - slides 9:20-9:45 - Introduction to Vision-based Motion Control of Robots - Azad Shademan (Alberta) - slides - video: wmv, mp4, ogg 9:45-10:05 - Using cameras for Robotic Tracking - Howard Li (UNB) - slides 10:05-10:30 - Structure From Motion - Adel Fakih (Waterloo) - slides - video: wmv, mp4, ogg 10:40am-12:00pm Tutorial session #2 : Robotics Part II and Computer Vision Part I 10:40-11:10 - Particle Filters for Mobile Robot Navigation - Yiannis Rekleitis (McGill) - slides - video: wmv 11:10-10:35 - Introduction to Discriminative Machine Learning - Yang Wang (SFU) - slides - video: wmv, mp4, ogg 11:35-12:00 - Introduction to Human Action Recognition - Yang Wang (SFU) - slides 1:30-3:10pm Tutorial session #3 : Computer Vision Part II 1:30-2:00 - Belief Propagation and its Applications - James Coughlan (Smith-Kettlewell Eye Research Institute) - slides - video: wmv, mp4, ogg 2:00-2:25 - Separating Foreground From Backgrounds - Minglun Gong (Memorial University) - slides - video: wmv, mp4, ogg 2:25-2:50 - Differential Optic Flow - John Barron (UWO) - slides - video: wmv, mp4, ogg 2:50-3:10 - Pre-processing/Filtering for Computer Vision - Alexander Wong (Waterloo) - slides - video: wmv, mp4, ogg 3:30-4:30pm Tutorial session #4 : Computer Vision Part III 3:30-3:50 - Salient Feature Detectors and Descriptors: Affine-Hessian, Harris, MSER, SIFT, SURF - Amir-Hossein Shabani (Waterloo) - slides - video: wmv, mp4, ogg 3:50-4:10 - Multiview Geometry and OpenCV Intro - Robert Laganiere (UofOttawa) - slides - video: wmv, mp4, ogg |
