h1. *Ideas Page for OpenCV Google Summer of Code 2016 (GSoC 2016)*

*OpenCV Augmented Reality from ArUco Markers last year. (click image for video showing all 2015 projects)*

" !AR_Aruco.png! ":https://www.youtube.com/watch?v=OUbUFn71S4s

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* *Go back to:*

** "OpenCV Developer Page":http://code.opencv.org/projects/opencv/wiki

** "OpenCV User Page":http://opencv.org/

h2. General Information:

* "GSoC 2016 site":https://developers.google.com/open-source/gsoc/

* Mailing list for OpenCV GSOC 2016: [email protected]

** Group site https://groups.google.com/forum/#!forum/opencv-gsoc-2016

* IRC Channel:

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#opencv on freenode

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* *Timelines*

** "Timeline for GSoC 2016":https://developers.google.com/open-source/gsoc/timeline

** "Major GSoC 2016 Milestones":https://summerofcode.withgoogle.com/

** *Next important dates:*

*** -Feb 19 19:00 UTC: Mentoring organization application deadline.- *Submitted!*

*** -Feb 29 19:00 UTC: List of accepted Organizations.- *"We are in!!":https://summerofcode.withgoogle.com/organizations/?sp-search=OpenCV*

*** Mar 14 16:00 UTC: Student Application period begins!

*** Mar 25 19:00 UTC: Student Application period ends!

*** ? Deadline for OpenCV to request # of slots.

*** ? Google publishes how many slots we get.

*** ? Try to eliminate duplication of students.

*** ? IRC for OpenCV to resolve all duplications.

*** Apr 22 19:00 UTC: Accepted students announced.

*** May 23 Let Coding begin!

*** Jun 20 19:00 UTC: Mid term evaluation begins. *Pull requests must be in*

*** Jun 27 19:00 UTC: Mid term evaluation ends. *Pull requests must be in*

*** Aug 23 19:00 UTC: Coding stop; Pull requests must be in; Mentors: final evaluation begins...

*** Aug 29 19:00 UTC: Final evaluation deadline.

*** Late October: Mentor Summit!

*Times:*

*  UTC to PDT (California uses PST in the winter (from Nov 1st) and PDT in the summer (from March 8)).

** "utc time converter":http://www.timebie.com/std/gmt.php

*Resources:*

* "OpenCV Developers Site":http://code.opencv.org/projects/opencv/wiki

* "OpenCV User's Site":http://opencv.org

* [[How_to_contribute|How to do a pull request/How to Contribute Code]]

* Source Code can be found at "GitHub":https://github.com/Itseez/opencv. 

** To get the source code, point your git client to @git://github.com/Itseez/opencv.git@. Here are [[Working_with_OpenCV_git_repository|instructions]].

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git clone git://github.com/Itseez/opencv.git

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** To get user contributions, GSoC code, go to: https://github.com/Itseez/opencv_contrib.git

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git clone git://github.com/Itseez/opencv_contrib.git

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** The rest of the history plus matches between git commits and SVN revisions are stored at a separate "OpenCV Attic" repository: git://code.opencv.org/opencv_attic.git.

** Also OpenCV Extra was put to a separate repository: git://code.opencv.org/opencv_extra.git.

* [[OpenCV Development Process]]

** [[Meeting_notes|Developer meeting notes]]

h2. How you will be evaluated if you are an accepted student

* Student projects to be paid only if:

** *Midterm:*

*** You must generate a pull request

**** That builds

**** Has at least stubbed out functionality

**** With appropriate Doxygen documentation

**** Has at least stubbed out unit test

**** Has a stubbed out example of use that builds

** *End of summer:*

*** A full pull request

**** Full Doxygen documentation

**** A good unit test

**** Example of use code

*** Create a (short!) Movie (preferably on Youtube, but any movie) that demonstrates your code

**** We use this to create an overall summary. Past years:

***** "The 2015 Movie":https://www.youtube.com/watch?v=OUbUFn71S4s

***** "The 2014 Movie":https://www.youtube.com/watch?v=3f76HCHJJRA

***** "The 2013 Movie":https://www.youtube.com/watch?v=_TTtN4frMEA

h2. For students interested in applying

# You *must* already know how to program fluently in C++

** Some projects may require Python or Matlab skills

# Ask to join the "OpenCV GSoC Forum List":https://groups.google.com/forum/#!forum/opencv-gsoc-2016

** Discuss projects below or other ideas with us there (Feb 29 - March 13)

# On March 14th - 25th, Go to the "GSoC site":https://developers.google.com/open-source/gsoc/ and sign up to be a student with OpenCV

# Post the project from below or your own agreed on project on the GSoC to [email protected]

** Include Name, google email, age

** Include how you think you are qualified to accomplish this project (skills, courses, relevant background)

** Include Country of origin, school you are enrolled in, Professor you work with (if any)

** Include a projected timeline and milestones for the project

# Once (and if!) OpenCV gets accepted as GSoC 2016 org (Feb 29th), and we are told how many slots we will get *and* you've signed up for a project with us (March 14-25th)

** We will weight the students and projects against mentors and their interests and choose which students/project to pursue.

** Accepted students will be posted on the GSoC site on April 22nd (and we will notify the accepted students ourselves).

h2. For computer vision professionals interested in mentoring

# Go to the "GSoC site":https://developers.google.com/open-source/gsoc/ and sign up.

# Request to be a mentor for OpenCV there.

# We accept or reject you

# Students submit projects and you 

** find a project you want to mentor (several students might try for the same project)

** contact us about it through [email protected] so we can be sure there is not someone already handling that project

** contact the students to assess which one if any are capable of coding that up in a summer.

# We get a slot allocation from Google, the administrators then _"spend"_ the slots in order of priority

# Students must finally actually accept to do that project (some sign up for multiple organizations and then choose)

*If* you are accepted as a mentor *and* you find a suitable student *and* we give you a slot *and* the student signs up for it, +*then*+ you are a mentor. 

** It sounds harder than it is.

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h1. 2016 Project Ideas:

*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* Contact us and/or discuss ideas at https://groups.google.com/forum/?fromgroups#!forum/opencv-gsoc-2016

_These are not in order of priority_

*1 Google Cardboard*

* Do visual odometry, SLAM etc for Google Cardboard

*6 Deep learning*

* It would be cool if OpenCV could load and run deep networks trained with popular DNN packages like Caffe, Theano or Torch.

* GPU/OpenCL optimization and/or other optimizations (that can partly be contributed back to the upstream projects) are also encouraged.

*2 Projection mapping (Projected Augmented Reality)*

* Calibrate a camera to a projector

* Put out structured light to learn the 3D map of what's in front of the camera

* Project the camera image, suitably rotated and shifted onto the scene

* Unity or some other program to start transforming the scene for projection mapping

** See http://www.creativebloq.com/video/projection-mapping-912849 to get ideas of what you can do with this

*3 Update OpenCV file storage so that it's readable by Python in OpenCV (move to YAML 1.2 Edition 3)*

* Mentor Prasanna

* OpenCV C++ writes out its own YAML tags which makes it incompatible with it's own Python and with external python readers

* Speedup fs reading/writing, add JSON support, add base64 (+RLE) support for large amounts of numerical data

* References

** YAML http://www.yaml.org

** Problem statement: http://stackoverflow.com/questions/11141336/filestorage-for-opencv-python-api

*5 Self-contained video codec(s)*

* There is draft version of self-contained motion jpeg encoder to be integrated to OpenCV.

* We will also need decoder, 12-bit jpeg support, multi-threaded encoder and decoder.

* There are some other codecs, like libvpx, which we can support and link right into highgui, without dependency from ffmpeg/libav.

*7 Better interactive camera calibration*

* Modern algorithms would allow us to recompute camera parameters after almost each frame, compute reprojection error, compute confidence intervals for the parameters.

* the partially occluded calibration patterns could be handled somehow to, especially if we want to estimate intrinsic parameters only.

* the application may show us the areas where the corner borders have been shown so that user can see how good are the data

*9 Color Calibration and white balance* 

* With McBeth chart and with gray world algorithm (improve exisiting color constancy algorithms)

* Possibly collect deep learning way of doing this (needs large training set)

*10 Realtime image preprocessing algorithms (real time on mobile)*

* We and many other OpenCV users would definitely enjoy very fast denoising, color improvements, white balance etc. algorithms.

*11 Tracking improvements*

* TLD algorithm is implemented in OpenCV, but it needs improvements and optimizations.

* ASM/AAM can also be implemented, as well as the particle filter.

*12 PBM (part-based models) improvements*

* There is latentsvm package in opencv_contrib that needs to be improved (quality-wise and speed-wise).

* Adding training, even if it involves execution of external svmperf or other tool, is definitely appreciated too.

*13 Improving ICF/ACF + <some>Boost training and detection*

* In opencv_contrib there is initial version of the training application and detector based on integral channel features and boosting. Further improvements of this part would be really useful.

*14 lua+OpenCV*

* the other language that is now used more often for ML and CV (thanks to Torch) is Lua; there are old bindings for a tiny part of OpenCV; could be useful to extend our autogenerated bindings to Lua.

*15 human interaction*

* gesture recognition

* human skeleton based on 2d or 3d 

*17 Quad Rotor Contrib*

* Apply much of the above into a quad rotor drone automatic tracking, mapping navigation etc module

New 2016 ideas:

* Architecture

** Exceptions in OpenCV need to be easily disabled ? (need to check if that's the case or not)

** Minimal OpenCV: give the functions you want, it gives you a minimal version of the library. 

** reduce the size of OpenCV on Anddroid

** create a more C++ type (to be able to deal with constness and separate the pointer from the type)

** create an image type (that would also have color information, maybe calibration too) and implement a proper resize algorithm for that type

* Tracking

** David Tan’s tracking

2d: https://www.youtube.com/watch?v=W689ffCMDF4

3d: https://www.youtube.com/watch?v=TqyFEZzhPbE

* misc

** convexHull is implemented with Sklansky's second, 1982 algorithm, which is incorrect in some case, and suboptimal complexity-wise. cf. http://cgm.cs.mcgill.ca/~athens/cs601/.

cv::contourArea(cv::convexHull(contour)) for a convex contour is different from cv::contourArea(contour), somtimes by nearly 30%.

** Lightfield: https://www.youtube.com/watch?v=WU-D4PA5plo

** a resize algorithm for images taking color into account. http://www.4p8.com/eric.brasseur/gamma.html?

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h1. Accepted Projects for OpenCV GSoC 2016:

OpenCV GSoC 2016 students, projects, mentors are below. *WHEN THEY ARE KNOWN*

*GSoC Progress. Need Pull requests (don't have to be complete) to pass by July 3rd*

*Mailing Lists (only for use of Mentors and Students, please to not request to join these lists otherwise):*

* Mentors

** opencv-gsoc2016-mentors

* Students

** opencv-gsoc2016-students

* [[How_to_contribute|How to do a pull request]]

*Pre-Midterm status:*

Project notes will be compiled "here":https://sites.google.com/a/opencv.org/opencv/gsoc-2016-project-notes .

h2. Mentors

*Actual signed up mentors*

* Alexander Mordvintsev	zzznah(+)gmail.com

* Sid Bao	ybao(+)magicleap.com

* Vincent Rabaud	vincent.rabaud(+)gmail.com

* Vadim Pisarevsky	vadim.pisarevsky(+)gmail.com

* Adrian Kaehler	therealadrian(+)gmail.com

* Terry Boult	tboult(+)vast.uccs.edu

* spmallick	spmallick(+)taaz.com

* Serge Belongie	sjb344(+)cornell.edu

* Stefano	s.fabri10(+)gmail.com

* Prasanna	pras.bits(+)gmail.com

* Pablo Alcantarilla	pablofdezalc(+)gmail.com

* Bence Magyar	mw.mzperx(+)gmail.com

* Manuele	manuele.tamburrano(+)gmail.com

* Grace Vesom	grace.vesom(+)gmail.com

* Open Source Computer Vision Library (OpenCV)	garybradski(+)gmail.com

* Douglas Lee	dougabug(+)gmail.com

* Claudia Rapuano	c.rapuano(+)gmail.com

* Antonella Cascitelli	antonellacascitelli(+)gmail.com

* Anatoly Baksheev	anatoly.baksheev(+)itseez.com

* Alexander	alexander.shishkov(+)itseez.com

* Alexander Smorkalov	alexander.smorkalov(+)itseez.com

* Alexander Bovyrin	alexander.bovyrin(+)itseez.com

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

 Anatoly Baksheev

 Researcher, Vision Algorithms on GPU

 Argus/Itseez

 [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]

 Antonella Cascitelli

 Grad student, University of Rome

 [email protected]

 Eric Christiansen

 PhD, UCSD

 [email protected]

 Stefano Fabri

 CRR Team leader, University of Rome

 [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]

 Vadim Pisarevsky

 OpenCV founding team/Czar

 [email protected]

 Manuele Tamburrano

 Grad Student, University of Rome

 [email protected]

 Vincent Rabaud

 Principle Engineer, Aldebaran Robotics

 [email protected]

  Claudia Rapuano

  Grad student, University of Rome

  [email protected]

 Grace Vesom

 Senior Software Engineer, Magic Leap

 -delete-grace.vesom@-delete_gmail.com

 Bence Magyar

 Pal Robotics

 [email protected]

 Pablo Alcantarilla

 Toshiba Research Europe Ltd.

 [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]

 Andrey Morozov

 Software Engineer

 Argus/Itseez

 [email protected] 

h2. OpenCV Org. Application to GSoC 2016

[[OpenCV GSoC Application]]

h2. Previous Years 

* 2015 "GSoC 2015 Ideas Page":http://code.opencv.org/projects/opencv/wiki/GSoC_2015

** "The 2015 Movie":https://www.youtube.com/watch?v=OUbUFn71S4s

* 2014 "GSoC 2014 Ideas Page":http://code.opencv.org/projects/opencv/wiki/GSoC_2014

** "The 2014 Movie":https://www.youtube.com/watch?v=3f76HCHJJRA

* 2013 "GSoC 2013 Ideas Page":http://code.opencv.org/projects/gsoc2013/wiki

** "The 2013 Movie":https://www.youtube.com/watch?v=_TTtN4frMEA

* 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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