GSoC 2015
Version 28 (Gary Bradski, 2015-11-24 07:05 pm) → Version 29/50 (Gary Bradski, 2015-11-24 07:05 pm)
h1. *Ideas Page for OpenCV Google Summer of Code 2015 (GSoC 2015)*
"We are an accepted organization in GSoC 2015!":http://www.google-melange.com/gsoc/org2/google/gsoc2015/opencv
*OpenCV 3D recognition and pose from last year.*
!3D_recog.jpg!
----
h2. General Information:
* "GSoC 2015 site: http://www.google-melange.com/gsoc/homepage/google/gsoc2015":http://www.google-melange.com/gsoc/homepage/google/gsoc2015
* Mailing list for OpenCV GSOC 2015: [email protected]
** Group site https://groups.google.com/forum/#!forum/opencv-gsoc-2015
* "Timeline for GSoC 2015":http://www.google-melange.com/gsoc/events/google/gsoc2015
** *Next important dates:*
*** -Feb 20 19:00 UTC: Organization Application Deadline.- *DONE!*
*** -Mar 02 19:00 UTC: List of accepted Organizations.- *We're in!*
*** Mar 16 16:00 UTC: Student Application period begins!
*** Mar 27 19:00 UTC: Student Application period ends!
*** Apr 13 Deadline for OpenCV to request # of slots.
*** Apr 15 Google publishes how many slots we get.
*** Apr 21 Try to eliminate duplication of students.
*** Apr 24 IRC for OpenCV to resolve all duplications.
*** Apr 27 19:00 UTC: Accepted students announced.
*** May 25 Let Coding begin!
*** Jun 26 19:00 UTC: Mid term evaluation begins.
*** Jul 03 19:00 UTC: Mid term end.
*** Aug 21 19:00 UTC: Coding stop; Pull requests must be in; Mentors: final evaluation begins...
*** Aug 28 19:00 UTC: Final evaluation deadline; Students begin submitting code.
*** Sept 25 19:00 UTC: Deadline for Google Code submission
*** Oct 24-25: Mentor Summit!
* we'll create a video just like we did in the 2013 year http://www.youtube.com/watch?v=_TTtN4frMEA
** "OpenCV GSoC * 2014 Movie":https://www.youtube.com/watch?v=7WUZA_KIIRA&feature=youtu.be
** "OpenCV GSoC 2013 Movie":http://www.youtube.com/watch?v=_TTtN4frMEA *Vincent?!*
*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 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]].
<pre>
git clone git://github.com/Itseez/opencv.git
</pre>
** 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 2014 Movie":https://www.youtube.com/watch?v=7WUZA_KIIRA&feature=youtu.be
***** "The 2013 Movie":https://www.youtube.com/watch?v=_TTtN4frMEA
h2. For students or mentors interested in applying
* You *must* already know how to program well in C++
** Some projects may require Python or Matlab skills
* Discuss projects below or other ideas with us https://groups.google.com/forum/?fromgroups#!forum/opencv-gsoc-2015
<pre>
\/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/
</pre>
h1. 2015 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-2015
_These are not in order of priority_
*1 Google Cardboard*
* Do visual odometry, SLAM etc for Google Cardboard
*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
*4 Stereo correspondence improvements*
* More accurate and faster stereo correspondence (StereoBM/StereoSGBM) by using LBP/BRIEF/DAISY etc. per-pixel descriptors instead of sum-of-absolute-differences.
*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.
*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.
*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
*8 Create a much better calibration target, we will call it "Charuco*
* We know how to combine Aruco targets with checker boards to create a "super calibration" object
* It also can express ~1 billion distinct codes
* Implement this for OpenCV
** "Aruco target finding description":http://www.uco.es/investiga/grupos/ava/node/26
** Great overview
*** "Automatic generation and detection of highly reliable fiducial markers under occlusion":http://www.uco.es/investiga/grupos/ava/sites/default/files/GarridoJurado2014.pdf
** A similar system to Arcuo: "AprilTag: A robust an dflexible visual fiducial system":http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5979561&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5979561
*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 numl+OpenCV, lua+OpenCV*
* there is emerging numl language, suitable for implementation of complex computationally-intensive algorithms. OpenCV bindings for this language would be really useful.
* 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
*16 SfM*
* update libmv to OpenMVG and get the 3d viz from OpenCV
* Make the Structure from Motion Module coherent
*17 Quad Rotor Contrib*
* Apply much of the above into a quad rotor drone automatic tracking, mapping navigation etc module
<pre>
/\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\
</pre>
h1. Accepted Projects for OpenCV GSoC 2015:
OpenCV GSoC 2015 students, projects, mentors are below. *WHEN THEY ARE KNOWN*
<pre>
Student Project Mentor(s)
======= ======= ========
</pre>
Project notes will be compiled "here":https://sites.google.com/a/opencv.org/opencv/gsoc-2015-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)
Ãcole 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 2015
"OpenCV GSoC Application":http://code.opencv.org/projects/gsoc2013/wiki/GSoC2013OpenCVApplication
h2. Previous Years
* 2014 "GSoC 2014 Ideas Page":http://code.opencv.org/projects/opencv/wiki/GSoC_2014
** "The 2014 Movie":https://www.youtube.com/watch?v=7WUZA_KIIRA&feature=youtu.be
* 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
----
"We are an accepted organization in GSoC 2015!":http://www.google-melange.com/gsoc/org2/google/gsoc2015/opencv
*OpenCV 3D recognition and pose from last year.*
!3D_recog.jpg!
----
h2. General Information:
* "GSoC 2015 site: http://www.google-melange.com/gsoc/homepage/google/gsoc2015":http://www.google-melange.com/gsoc/homepage/google/gsoc2015
* Mailing list for OpenCV GSOC 2015: [email protected]
** Group site https://groups.google.com/forum/#!forum/opencv-gsoc-2015
* "Timeline for GSoC 2015":http://www.google-melange.com/gsoc/events/google/gsoc2015
** *Next important dates:*
*** -Feb 20 19:00 UTC: Organization Application Deadline.- *DONE!*
*** -Mar 02 19:00 UTC: List of accepted Organizations.- *We're in!*
*** Mar 16 16:00 UTC: Student Application period begins!
*** Mar 27 19:00 UTC: Student Application period ends!
*** Apr 13 Deadline for OpenCV to request # of slots.
*** Apr 15 Google publishes how many slots we get.
*** Apr 21 Try to eliminate duplication of students.
*** Apr 24 IRC for OpenCV to resolve all duplications.
*** Apr 27 19:00 UTC: Accepted students announced.
*** May 25 Let Coding begin!
*** Jun 26 19:00 UTC: Mid term evaluation begins.
*** Jul 03 19:00 UTC: Mid term end.
*** Aug 21 19:00 UTC: Coding stop; Pull requests must be in; Mentors: final evaluation begins...
*** Aug 28 19:00 UTC: Final evaluation deadline; Students begin submitting code.
*** Sept 25 19:00 UTC: Deadline for Google Code submission
*** Oct 24-25: Mentor Summit!
* we'll create a video just like we did in the 2013 year http://www.youtube.com/watch?v=_TTtN4frMEA
** "OpenCV GSoC * 2014 Movie":https://www.youtube.com/watch?v=7WUZA_KIIRA&feature=youtu.be
** "OpenCV GSoC 2013 Movie":http://www.youtube.com/watch?v=_TTtN4frMEA *Vincent?!*
*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 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]].
<pre>
git clone git://github.com/Itseez/opencv.git
</pre>
** 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 2014 Movie":https://www.youtube.com/watch?v=7WUZA_KIIRA&feature=youtu.be
***** "The 2013 Movie":https://www.youtube.com/watch?v=_TTtN4frMEA
h2. For students or mentors interested in applying
* You *must* already know how to program well in C++
** Some projects may require Python or Matlab skills
* Discuss projects below or other ideas with us https://groups.google.com/forum/?fromgroups#!forum/opencv-gsoc-2015
<pre>
\/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/ \/
</pre>
h1. 2015 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-2015
_These are not in order of priority_
*1 Google Cardboard*
* Do visual odometry, SLAM etc for Google Cardboard
*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
*4 Stereo correspondence improvements*
* More accurate and faster stereo correspondence (StereoBM/StereoSGBM) by using LBP/BRIEF/DAISY etc. per-pixel descriptors instead of sum-of-absolute-differences.
*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.
*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.
*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
*8 Create a much better calibration target, we will call it "Charuco*
* We know how to combine Aruco targets with checker boards to create a "super calibration" object
* It also can express ~1 billion distinct codes
* Implement this for OpenCV
** "Aruco target finding description":http://www.uco.es/investiga/grupos/ava/node/26
** Great overview
*** "Automatic generation and detection of highly reliable fiducial markers under occlusion":http://www.uco.es/investiga/grupos/ava/sites/default/files/GarridoJurado2014.pdf
** A similar system to Arcuo: "AprilTag: A robust an dflexible visual fiducial system":http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5979561&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5979561
*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 numl+OpenCV, lua+OpenCV*
* there is emerging numl language, suitable for implementation of complex computationally-intensive algorithms. OpenCV bindings for this language would be really useful.
* 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
*16 SfM*
* update libmv to OpenMVG and get the 3d viz from OpenCV
* Make the Structure from Motion Module coherent
*17 Quad Rotor Contrib*
* Apply much of the above into a quad rotor drone automatic tracking, mapping navigation etc module
<pre>
/\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\ /\
</pre>
h1. Accepted Projects for OpenCV GSoC 2015:
OpenCV GSoC 2015 students, projects, mentors are below. *WHEN THEY ARE KNOWN*
<pre>
Student Project Mentor(s)
======= ======= ========
</pre>
Project notes will be compiled "here":https://sites.google.com/a/opencv.org/opencv/gsoc-2015-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)
Ãcole 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 2015
"OpenCV GSoC Application":http://code.opencv.org/projects/gsoc2013/wiki/GSoC2013OpenCVApplication
h2. Previous Years
* 2014 "GSoC 2014 Ideas Page":http://code.opencv.org/projects/opencv/wiki/GSoC_2014
** "The 2014 Movie":https://www.youtube.com/watch?v=7WUZA_KIIRA&feature=youtu.be
* 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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