Seventh Canadian Conference on Computer and Robot Vision (CRV 2010)
Ottawa, Ontario, 31 May - 2 June 2010
A free day of tutorials will be held on Sunday May 30, 2010 in conjuction with the CRV conference.
The tutorial day will consist 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.
Please look at last year's successful
2009 Tutorial day
for an example of what we hope to repeat again in 2010.
The presentations will cover the most basic concepts, equations, and most referenced papers in each area .
The material will not be the speaker’s latest results, but rather the essential basics, and should be useful
to new students and seasoned researchers alike.
We are inviting your attendance, and partipication.
Below are some suggested topics, some with topics with speakers planned.
Please feel free to suggest more topics within the subject area of computer vision and robotics.
Computer Vision
Tracking
-Differential Optic Flow - John Barron (UWO)
-KLT tracker - Mark Fiala (Ryerson)
-mean shift, histogram based, particle
Salient feature detection:
-KLT/Harris corners, FAST, SUSAN
-SIFT, PCA-Sift, SURF, Hessian-Laplace, MSER
-Haar and face-finder, kd-tree, random tree, ferns
Segmentation
- line, edge, contour extraction
- foreground/background, Mixture of Gaussians, median, codebook, connected components
Geometry - projection matrices, epipolar geometry
-3-view tensors - Robert Laganiere (UofOttawa)
-pose estimation - Mark Fiala (Ryerson)
RANSAC
3D reconstruction, bundle adjustment - Gerhard Roth (Carleton)
modeling, texturing and rendering from images
statistical shape analysis - Chang Shu (NRC)
Image search - Gerhard Roth (Carleton)
Machine learning, ada boost, svm
OpenCV - brief primer and some starting examples.- Robert Laganiere (UofOttawa)
Robotics
Introduction to Vision-based Motion Control of Robots
motion models
Kalman filters - Mark Fiala (Ryerson)
SLAM, fastslam 2.0
Particle Filters for Mobile Robot Navigation
Please contact the tutorial organizer Mark Fiala at mark.fiala@ryerson.ca to indicated your possible attendance and/or
participation.
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