h1. *Ideas Page: OpenCV Google Summer of Code 2013*

h2. *OpenCV is accepted as an organization! Time to queue up for projects.*

!http://code.opencv.org/attachments/1290/LineModUse.png!

This is a picture of the 3D object recognition software LineMod. Recent research contributed to OpenCV. Published at ACCV 2012.

  _+From+_: S. Hinterstoisser, V. Lepetit, S. Ilic, S. Holzer, G. Bradski, K. Konolige, N. Navab , _Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes_  "Linemod ACCV 2012":http://campar.cs.tum.edu/Chair/PublicationDetail?pub=hinterstoisser2012accv

General Information:

* "GSoC 2013 site":http://code.google.com/soc/

* "Timeline for GSoC 2013":http://www.google-melange.com/gsoc/events/google/gsoc2013

** *Next important dates:*

*** March 18th-29th: Organization Application deadline.

*** April 8th: Announcement of GSoC Mentoring Orgs. (whether we're in or out)

*** April 9th-21st: *POTENTIAL INTERNS:* Discuss project ideas with us [email protected]

*** April 22-May 3rd: Application period

*** May 8th: Slot allocations published

*** May 22nd 12-1PST Dedup meeting

*** May 27th Final project decisions are made

*** June 17th: Let's start coding !!!

Times:

*  UTC to PDT (Pacific Daylight Time == Daylight savings time. In winter it's PST).

** "utc time converter":http://weatherarc.com/utc-time-conversion

h2. For students interested in applying

* April 9th-21st: Discuss projects below or other ideas with us [email protected]

* *To apply to us: (April 22-May 3rd)*

** Go to http://www.google-melange.com/gsoc/homepage/google/gsoc2013

** Click on "apply"

*** Please note that you +must+ apply to Google

** After the organizations load (takes some time), type in "OpenCV", click on what comes up and apply.

*** [[GSoCApplicationTemplate]] -- This is what we want to know about you

h3. Discuss ideas with us at [email protected]

h2. Project Idea summary. Discuss with us at [email protected]

*Students may propose their own projects (give us a clear summary and why you can do this project). However below are some of our priorities for this year*

These are not in order of priority except for the first 2

* *Mobile vision app development:*

** Vision apps on phone and tablet. We want a very clear "hello world" type of example to make it easier for the rest to start developing mobile vision applications. People can apply for:

*** iOS (iPhone) examples

*** Android example

* *Computational Photography*

** Help support the growth of mobile cameras on tablets and phones. Fun stuff and important

*** noise estimation and reduction, 

*** tilt-shift images and movies,

*** multi-focal point images,

*** high dynamic range images by composition with different shutter times

* *Vision Applications:*

** We'd like students to build working functionality. Some ideas:

*** Automatically generating comics: 

**** See http://www.physorg.com/news/2012-03-software-automatically-movie-comic.html

*** Image Collage -- use python to make it easy to put together a collage of images from a trip etc

**** Annotate the images

**** Do effects like comic life http://plasq.com/products/comiclife/win

*** Hand tracking with the kinect

*** Movie editor with effects. Simple, intuitive to use

*** Point cloud view using depth in OpenCV arrays

* *OpenCL Optmization:*

** We have contributors already, get one or more of them to be GSoC students

* *Mech Turk Interface*

** Easily label images for train test in OpenCV

* *1D and 2D Barcode readers:*  

** We have a basic datamatrix reader.  Expand to other kinds of barcodes (1D, other 2D).

* *Natural barcodes:*

** OpenCV can read calibration patterns. Calibrate a camera, rectify it's output. Put a picture next to a calibration pattern in a scene. Find 2D interest points with features2D. Measure them in the image using the calibration pattern. Use the pattern of interest points and their measures to turn the picture into a calibration pattern/barcode so that the computer recognizes the picture and knows where it is in relation to the iamge.

*** Stretch goal, embeded and retrieve watermarks in the image.

* *Python examples:*

** We're finding the python interface extremely useful and productive. It needs a lot more examples

* *Tutorials:*

** Continue with "OpenCV Tutorials":http://opencv.itseez.com/doc/tutorials/tutorials.html

* *Inverted index:*

** Help create an _*inverted index*_ of functionality to functions.  That is, say, _edge detection_ would list Sobel, Scharr, Canny etc.

* *more Qt integration:*

** multiwindow

** visual output for certain algorithm during the execution (for the different steps)

** visualizer for SfM (basic OpenGL and Qt integration), e.g. : http://www.youtube.com/watch?v=jZlhnguoBag

* *SfM integration:*

** Ceres integration (we need some BA stuff). It depends on Eigen but they just changed their license and that could be a micro-module

* *Matlab integration:*

** we could have somebody writing samples/testing the latest wrapper. Needs: OpenCV knowledge a bit, Python knowledge. Write a script

that takes output from parser     (list of classes/methods/functions) and generates C code that is Matlab wrappers (mex knowledge). Find solution to deal with row-major/col major

* *multi-camera calibration:*

** that should be its own micro-module

* *RGBD functions:*

** We already have normal, plane finder, ICP, we could have more maybe: octrees, plane-plane ICP, depth cleaner ...

* *Full LINE-MOD implementation:*

** That would focus on the ACCV paper for pre/post processing

* *Course-ware:*

** We want to start offering vision courses using OpenCV. 

*** If you are expert in a topic (say it's your area of graduate research, or you've just finished a project or course in a particular topic and can explain it well)

*** Write up the topic, the math and then develop a step by step example of it using OpenCV.

* *Generic numerical optimization module:*

** We want to have the package of general purpose optimization methods that can be easily used in computer vision algorithms (ex. downhill simplex method, annealing particle filter).

** This will require a mathematically inclined student and/or one who has taken course work in the area obviously

* *Expose OpenCV GPU functionality into Python API*

** Current Python OpenCV wrappers use @cv::Mat@ <=> Numpy array mapping for passing data between C++ and Python worlds. Aim of this project is to adopt "PyCuda GPUArray":http://documen.tician.de/pycuda/array.html as a counterpart of @GpuMat@.

** This would allow to extend cv2 wrapper generator to expose CUDA-powered OpenCV functions.

** Project requires good knowledge of C++ and Python and willingness to dive into the internals of OpenCV, Python and PyCuda.

** Expect all sorts of gotchas, subtle issues and design discussion with mentors.

** The resulting design decisions can be used to wrap the OpenCV's OpenCL functionality with "PyOpenCL":http://mathema.tician.de/software/pyopencl

h2. Mentors

In the below, get rid of the ''-delete-'' to make the emails work.

 Anatoly Baksheev

 Researcher, Vision Algorithms on GPU

 Argus/Itseez

 [email protected]  

 Serge J. Belongie

 Professor Computer Science and Engineering 

 University of California, San Diego 

 [email protected]

  Alexander Bovyrin

  PhD, Senior Researcher

  Argus/Itseez founder

  NNU Lecturer

  [email protected]

 Gary Bradski

 Founder, Industrial Perception Inc.

 Consulting Prof. Stanford U.

 OpenCV Founder, Technical Content Owner, GSoC Admin

 Co-author of Learning OpenCV Book

 http://www.willowgarage.com/pages/people/gary-bradski-senior-researcher

 [email protected]

 Victor Eruhimov

 OpenCV founding team/Senior Researcher

 Argus/Itseez founder

 NNU Lecturer

 [email protected]

 Adrian Kaehler

 Principle Engineer, Applied Minds

 Co-author of Learning OpenCV Book.

 [email protected]

 Peter Karasev

 PhD Student, MINERVA Research Group

 Georgia Tech

 [email protected]

 Kurt Konolige

 Founder, Industrial Perception Inc

 Consulting Professor, Stanford CS

 [email protected]

 Caroline Pantofaru 

 Researcher Scientist in perceiving people

 http://www.willowgarage.com/pages/people/caroline-pantofaru-research-scientist

 [email protected] 

 Vadim Pisarevsky

 OpenCV founding team/Czar

 [email protected]

 Vincent Rabaud

 Research Engineer/Perception, Willow Garage

 [email protected]

 Ethan Rublee

  Founder, Industrial Perception Inc

 Ported OpenCV to Android

 See Android vision apps under "Robot view" or "the vegan robot"

 [email protected]

 Eric Christiansen

 PhD Student, UCSD

 [email protected]

h3.  Back up Mentors

 Mark Asbach

 Fraunhofer IAIS

 Schloss Birlinghoven

 Sankt Augustin, Germany

 http://mmprec.iais.fraunhofer.de/asbach.html

 [email protected]

 Nicolas Saunier, Ph.D.

 Assistant Professor

 Civil, Geological and Mining Department (CGM)

 École Polytechnique de Montréal

 http://nicolas.saunier.confins.net

 [email protected]

 Alexander Mordvintsev

 Software Engineer

 http://znah.net

 [email protected]

h2. OpenCV Org. Application to GSoC 2013

[[GSoC2013OpenCVApplication]]

h2. Previous Years 

* 2012 Ideas site http://code.opencv.org/projects/gsoc2012/wiki/Wiki/

* 2011 Ideas site http://opencv.willowgarage.com/wiki/GSOC_OpenCV2011

** 2011 Application GSoC page is http://opencv.willowgarage.com/wiki/GSoC2011OpenCVApplication

* 2010 Ideas site http://opencv.willowgarage.com/wiki/GSOC_OpenCV2010

** 2010 Application page http://opencv.willowgarage.com/wiki/ApplicationGSOC2010

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