minutes 2008.04.16
Elodie Fourquet
Date: Apr 16, 2008
Location: DC 1304
Time: 2:30
Chair: Elodie Fourquet
0. Attendance
Andrea Bunt, Bill Cowan, Jeff Dicker, Elodie Fourquet, Ed Lank, Craig
Kaplan, Vladimir Levin, Robin Liu, Stephen Mann, Jamie Ruiz, Christine
Szentgyorgyi, Martin Talbot, Mike Terry, Jie Xu, Jeff Orchard.
1. Changes to the Agenda - additions or deletions
2. Coffee Hour
Coffee hour last week:
me
Coffee hour this week:
Jeff
Coffee hour next week:
Anyone want to take next week?
3. Forthcoming
Date: Apr 23, 2008 Apr 30, 2008 May 7, 2008 May 14, 2008
Location: DC 1304 2:30 DC 1304 2:30 DC 1304 2:30 DC 1304 2:30
Chair: Marshall Hahn Craig Kaplan Kate Kinnear Ed Lank
Technical Presentation:
Jeff Dicker Richard Fung Gabriel Esteves Marshall Hahn
4. Technical Presentation
Craig Kaplan
Title : Cut-out Image Mosaics
Abstract:
An image mosaic is a rendering of a large target image by arranging a
collection of small source images, often in an array, each chosen
specifically to fit a particular block of the target image. Most mosaicking
methods are simplistic in the sense that they break the target image into
regular tiles (e.g., squares or hexagons) and take extreme shortcuts when
evaluating the similarity between target tiles and source images. In this
paper, we propose an efficient method to obtain higher quality mosaics that
incorporate a number of process improvements. The Fast Fourier Transform
(FFT) is used to compute a more fine-grained image similarity metric,
allowing for optimal colour correction and arbitrarily shaped target tiles.
In addition, the framework can find the optimal sub-image within a source
image, further improving the quality of the matching. The similarity scores
generated by these high-order cost computations are fed into a matching
algorithm to find the globally-optimal assignment of source images to
target tiles. Experiments show that each improvement, by itself, yields a
more accurate mosaic. Combined, the innovations produce very high quality
image mosaics, even with only a few hundred source images.
5. Discussion Items
o We have the room until end of may for that time. We need to
schedule a time and a room for the rest of next term.
6. Action Items
7. Conferences and Special Journal Issues
8. Directors' Meeting
9. Seminars and Events
o 2008 Apr 17, 13:00, DC 2314 -- Computer Graphics Research Group PhD Seminar
Elodie Fourquet, PhD candidate, David R. Cheriton School of Comp. Sci.,
Univ. Waterloo
Geometric Displacement on Plane and Sphere
o 2008 Apr 17, 13:30, DC 1304 -- Waterloo Formal Methods PhD Seminar
Alma Juarez-Dominguez, PhD candidate, David R. Cheriton School of Comp. Sci., Univ. Waterloo
Overview on the Modelling of Feature Interactions in the Automotive Domain
o 2008 Apr 17, 14:30, DC 1331 -- Software Engineering Research Group Master's Thesis Presentation
Jun Wang, graduate student, David R. Cheriton School of Comp. Sci., Univ. Waterloo
An Interface-based Modular Approach for Designing Distributed Event-based Systems
o 2008 Apr 18, 14:00, DC 1331 -- Database Research Group PhD Seminar
Amr El-Helw, PhD candidate, David R. Cheriton School Comp. Sci., Univ. Waterloo
Collecting and Exploiting Statistics on Query Expressions
o 2008 Apr 22, 14:00, DC1331 -- Scientific Computation Group PhD Seminar
Zhuliang Chen, PhD candidate, David R. Cheriton School of Computer Science, Univ. Waterloo
A Regime-Switching Model for Natural Gas Spot Price
o 2008 Apr 23, 15:30, DC 2314 -- Computer Graphics Research Group PhD Seminar
Jie Xu, PhD candidate, David R. Cheriton School of Comp. Sci., Univ. Waterloo
Artistic Thresholding
o 2008 Apr 24, 14:00, DC 2314 -- Software Engineering Research Group PhD Seminar
Xinyi Dong, PhD candidate, David R. Cheriton School of Comp. Sci. Univ. Waterloo
Identifying Architectural Change Patterns in Object-Oriented Systems
o 2008 Apr 29, 10:30, DC 1331 -- Computer Graphics Research Group Master's Thesis Presentation
Andrew Lauritzen, graduate student, David R. Cheriton School Comp. Sci., Univ. Waterloo
Rendering Anti-aliased Shadows using Warped Variance Shadow Map
Also see other Math and CS postings.
10. Lab Cleanup