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Image Processing on Line, Minneapolis, ONR meeting 2009
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Image Processing on LineA new way to publish?A new way to organize research in a lab?
Jérôme Darbon (UCLA and ENS Cachan), Nicolas Limare (ENS Cachan), Jean-Michel Morel (ENS Cachan)
01/10/2009
Research partially funded by ONR Grant N00014-97-1-0839
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Image Processing on Line: main goal
01/10/2009
Achieve « reproducible research » and therefore:
Allow EVERYBODY to try the algorithms on their own images (including deciderswho DO NOT program)Make all results of trials accessible in a Web archive (experiment sharing)Downloadable codeGive a list of examples AND counterexamples, and explain themDescribe the algorithms carefully (pseudocode+comments)Testing independent of any platform (no code download, no system requirement…)
This is particularly adapted to image processing!
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Means of the project
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Online servers, multicoreExecution in real/interactive time (less than 20 seconds)Research team on online web toolsSome (easy) parallel computing Reorganization of the work flow in a team
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Reorganization of the work flow in a research team
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Math theory and first
algorithmElimination of parameters, private tests
Internal web version tested on line by the whole
team, feedback on code and theory
List of examples and
counterexamples established
Writing of the web site, green light to online
demo
Submission of paper , clear
ideas on future work
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Lab. Web server
Internal lab workshops,
testing in group
(private) Easy building
blocks for assembling a complex chain
(video processing stereo…)
On line algorithms to contractors
(private)
Online publication (even for
« well known «
algorithms
Teaching
Four functions for a Web server
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Algorithm website
Link to code download, C code, several
platforms
Link to on line demo
Link to publication reference or
preprint
Link to archive of
on line trials
For each algorithm: a fourfold publication
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Current state of the site
PUBLIC ONLINE (Website and demos): http://mw.cmla.ens-cachan.fr/megawave/algo/: ASIFT : Affine Invariant Image MatchingLSD : Line Segment DetectionRandom Phase Noise : Microtexture Synthesis Cartoon+Texture Image DecompositionRetinex PDEColor Balance INTERNAL WORKSHOPS:Color contrast enhancement by PDE (three algorithms compared)http://mw.cmla.ens-cachan.fr/megawave/demo/retinex_workshop/
NL-means (on test)http://mw.cmla.ens-cachan.fr/megawave/demo/nlmeans/
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ASIFT: affine invariant image comparison
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Result of ASIFT: Compared with SIFT:
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Algorithm Website
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The website of each algorithms shows and explains the failure cases. For instance for SIFT and ASIFT, failure comparing objects with night and day illumination
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The online demo gives also access to the online archive. More than 1550 different images have been so far tried by on line users. They are grouped in pages of 50. Here are threeexamples tried by users, on a simple box, a building and a landscape.
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By a simple click a closer view of each experiment is available:ASIFT result : SIFT result :
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Line segment detector (LSD), no parameter. More than 850 images in the archive
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Some results
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LSD: Some results in the online archive
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Plans
-Make a substantial database of algorithms. New ones. But many classic ones
-Pass from atoms to molecules : . Stereo (calibration, stereorectification, matching, reconstruction. Image processing (noise, blur, color, contrast: requires reliable estimates)
-Official publication? . Needs a scientific AND technical committee
. Needs a union of labs to start (right now three labs volunteer)
. Needs to fix very carefully the rules for code description, examples, etc.
. Needs €€€€€ + $$$$$
VISIT US: http://mw.cmla.ens-cachan.fr/megawave/algo/:
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