**MONDAY**

  **recommended readings ::**

    http://giss.tv/pd-opencv/pd_opencv-0.2.pdf

    http://www.flong.com/texts/essays/essay_cvad/

  **puredata downloads ::**

    http://puredata.info/downloads

    http://hangar.org/wikis/lab/doku.php?id=start:puredata_opencv

  **some video examples of artwork using Computer Vision seen today::**

    Myron Krueger - Videoplace, Responsive Environment, 1972-1990s
    http://www.youtube.com/watch?v=dmmxVA5xhuo&feature=related
  
    Messa di Voce by Golan Levin and Zach Lieberman
    http://www.tmema.org/messa/messa.html

    Julian Oliver : levelHead - Interactive Game 2007
    http://www.youtube.com/watch?v=UJYKSFANuaQ

    Fiducials detection
    http://www.youtube.com/watch?v=eWwp19ymChY

    FiiR
    http://www.youtube.com/watch?v=Glp3tBF9kNY

  **basic patching with Gem**

    Go to the PureData Help menu, there you have the basic examples we have seen today :: 

    Help -> Browser -> examples -> Gem -> 01.basic -> 01.redSquare.pd

    Help -> Browser -> examples -> Gem -> 04.pix -> 05.film.pd

    Help -> Browser -> examples -> Gem -> 04.video -> 00.SimpleVideo.pd

    (remember always you can do right mouse click on any object to obtain specific help)

**TUESDAY**

  **setting up your system**

    -Ubuntu Linux Easy Way ::

       Download and install pd-extended ubuntu package here http://puredata.info/downloads 

       Download and install pd_opencv bindings here http://artefacte.org/pdpkg/

    -MacOSX Easy Way :: 

      Download and install pd-extended MACOSX package here http://puredata.info/downloads 

      Download the binary objects of pd_opencv for MACOSX. Unpackit and follow the instructions in the README file.

  
  **Device of supported USB cameras in Linux**
  http://www.linux-usb.org/devices.html
  Look in the "Multimedia" devices section, the easy is to find a device with a driver which allready is in the **main kernel source**, but also the others will work.
  
  **Any DV1394 device (dv cameras and/or Analog/Digital Converters) works well on Linux**

  **The IEEE1394 Digital Camera List**
  http://damien.douxchamps.net/ieee1394/cameras/search/
  Those are uncompresed video cameras, (actually not supported in thr linux PD version) 

  **Computer Vision Test Videos**

  here http://muonics.net/cvMovies/ you have some test videos that relate to computer vision.

  Made a tour for all the help examples, one by one, test them in diferent contexts and try to adjust the parameters as you need


**WEDNESDAY**

  **Simple practical example**

  **Download Physical modeling examples** 
  here http://artefacte.org/BALTAN_Workshop/pmpd_example.tgz

  **Repository of Haar's Cascade XML files**
  http://alereimondo.no-ip.org/OpenCV/34
  here you have a package with more haarcascade clasifiers http://artefacte.org/BALTAN_Workshop/haarcascades.tgz

**THURSDAY**

  **Smoothing, limiting and scaling data**

  A simple example of a patch producing sound : http://ydegoyon.free.fr/baltan-mapping.tar.gz

**FRIDAY**

  **Introduction to OSC : http://opensoundcontrol.org/introduction-osc**

  The fruit detector works....

**SATURDAY**

  People are working on their projects, comparing different solutions,
  pd is an easy tool to use for prototyping applications...

  Fixing some problems with cameras encountered during the workshop :
  an experimental driver for DC1394 cameras has been added to PiDiP,
  only working in black&white for now

**SUNDAY**

  Adding the examples seen in this workshop to the software packages
  and fixing a few bugs to make a new software release : 
  pd_opencv-0.2-rc4