CRV 2010 Tutorial Day
8:30am - 4:30pm, Sunday, 30 May 2010
University of Ottawa, SITE Building, Room ST E A0150
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 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.
The day is free, please come attend. It will run from 8:30am until 4:30pm on Sunday May 30/2010.
Location: Room ST E A0150 (SITE Building, UOttawa Campus).
The SITE building is located at the south end of campus (opposite from downtown and hotels).
Here is a map , pan down to the bottom of the map. Below the program is an embedded map.
Computer Vision Tutorial Day Program
8:45-9:00 Multiview Geometry - Robert Laganiere (UofOttawa)
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9:00-9:15 2-view geometry - Mark Fiala (Ryerson)
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9:15-9:30 Homography estimation using DLT - Elan Dubrofsky (CBSA)
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9:30-9:45 3D-2D registration - Kazunori Umeda (Chuo Univ., Japan)
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9:45-10:15 Extracting 3D Polyhedral Building Models from Aerial Images using a Featureless and Direct Approach -
Karim Hammoudi
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- demo video
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10:15-10:30 Statistical Shape Analysis - Chang Shu (NRC)
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10:30-10:45
break
10:45-11:00 Multi-Dimensional Scaling and Applications to Posture-Invariant Surface Processing -
Stefanie Wuhrer (NRC)
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11:00-11:15 Gaussian Mixtures - Mohand Said (Univ. Quebec)
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11:15-11:45 Variational methods in Imaging - Karteek Popuri (Univ. Alberta)
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11:45-12:00 Belief Propagation and Applications to Computer Vision and Image Processing -
Alan Brunton (UofOttawa)
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12:00-12:15 Multi-view stereo with the Pro-Fusion Camera - Jochen Lang (UOttawa)
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12:15-1:30
Lunch break (pizza provided)
1:30-1:45 OpenCV - brief primer and some starting examples - Robert Laganiere (UofOttawa)
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1:45-2:30 Quantifying Uncertainty with Information Theory -
Andrew Davison (Imperial College London)
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2:30-2:45 Probabilistic Reasoning for Modeling Unreliable Data - Ron Tal (York)
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2:45-3:00 Harris corners, KLT tracker - Mark Fiala (Ryerson)
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3:00-3:10 Computer Vision Feature Detectors - Gail Carmichael (Carleton)
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3:10-3:20
break
3:20-3:40 SIFT and SIFT inspired Feature Detectors - Geoffrey Treen (Carleton)
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3:40-4:00 SURF - David Tam (Ryerson)
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4:00-4:15 Spatio-temporal Salient Features - Amir-Hossein Shabani (Waterloo)
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4:15-4:45 Introduction to Markov Random Fields and Graph Cuts -
Simon Prince (University College London)
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4:45-5:00 Particle Filters - Jamal Saboune (UofOttawa)
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5:00-5:30 Particle Filters for Mobile Robot Navigation -
Ioannis Rekleitis (McGill University)
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5:30-5:45 FastSlam2.0 and Particle Filters for Mobile Robot Navigation - Adel Fakih (Waterloo)
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5:45-6:00 Robot Operating System - Dave Meger (UBC)
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Here is a map from Google to walk from the Novotel hotel to the SITE building.
View Larger Map
Organized by Mark Fiala at mark.fiala@ryerson.ca.
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