Meeting notes for Jan 17 and 24

[Jonathan Hung]

Hi everyone,

I have posted the meeting notes for both January 17 and 24th meetings online and summarized below as well.

http://wiki.fluidproject.org/display/fluid/Decapod+Weekly+Meeting+Notes

2012 01 24

Present: Martin, Zeshan, Justin, Jon, Hasan

Dewarping:

• working on sift features and outliers
• working well and should work on a wide range of books
• Stereo features part is pretty much done.
• Dewarping still needs to be done for stereo
• Working on segmenting the book from the background into automated procedure.
• Dewarping working with perfectly appplicable surfaces
• not producing good output.
• working on procedures to work on near perfect surfaces
• perfectly applicable surfaces - page that easily be transformed back into a plane
• in reality we won't have perfectly applicable surfaces.

Genpdf:

• resolution option: -r option to control image resolution before embedding. Value is in DPI
• available in genpdf now in repo
• token based pdf performance index now available.
• creating performance measure for type 4 PDF

Decapod UI:

• server's Cherrypy upgrade complete and is essentially working to what it was in 05a
• writing unit tests
• continuing Decapod 0.5 design work.

2012 01 17

Present: Zeshan, Justin, Jon, Hasan

Dewarping

• Stereo reconstruction has been tested on a larger dataset. It had some problems in surface fitting. The model have been generalized to be able to cope up with variety of documents.
• For Structured Light, the work is in progress for the automatic extraction of region of interest and separation of pages.
• For Dewarping, conformal mapping has been fully implemented and tested. It works with perfectly applicable surfaces* (not always possible to reconstruct perfectly applicable). At the moment Implementing another dewarping method for nearly applicable surfaces. It will help in determining the final model which should be incorporated in Decapod.
• Upgrade Numpy 0.1.1 -> 0.9

Genpdf

• completed objective performance evaluation img2pdfper.py measurement for type 3 or 4
• creates a pdf file that also lists their performance index
• larger number more variance between the original character and the generated token.
• Generates an index number for entire image.

Server

• changes for RESTful architecture
• implementing new scheme for dynamic URLs
• code cleanup

UI

• Designs progressing on new Export UI.

Q:  Is it possible to create a test to detect handwriting? (This way Decapod can quickly decide whether or not Type 2 or higher will succeed or not).

A: 

• If the objective is to create segmentable hand written text, it's possible but requires work. You would create a model based on specific hand writing but it will only work for one particular hand writing style.
• If the objective is to detect which type of PDF to generate, then there have been discussions on such a tool, but not in the near future.

Genpdf:

• downscaling and upscaling PDF output to be investigated
• colour output option to be investigated