M2R - MSc in Informatics

Graphics Vision and Robotics
and  Ubiquitous Interface Systems

Computer Vision 

MoSIG M2 Academic Year

Professors: James L. Crowley and Edmond Boyer

These class notes can be found at http://crowley-coutaz.fr/jlc/Courses/2019/GVR.VO/GVR-VO.html

The original planned Class schedule.  Here is a pointer the the ADE class reservation system


Lesson 1:  Visual Perception in Man and Machine (James Crowley) - H201

Thursday 3 Oct 2019 -  9:45 to 12:45 

10 october 2019 - ENSIMAG Partners Day - no classes

Lesson 2:  Neural Networks, Machine Learning, and  Performance Evaluation (Nachwa Aboubakr) - H201

Thursday 17  October 2019  -  9:45 to 12:45  

Lesson 3:  Homogeneous Coordinates and Projective Camera Models (James Crowley) -   H201

Thursday 24 October 2019  -  9:45 to 12:45

31 Octobere  Fall Vacation (Toussaint) - no classes

Lesson 4:  Local Image Description with Receptive Fields   (James Crowley) - H201

Thursday 7  Novembre 2019 -  9:45 to 12:45 

Lesson 5: Scale Space, Pyramids, HOG, SIFT and Interest Points  (James Crowley) - H201

Thursday 14 Novembre 2019 -  9:45 to 12:45

Lesson 6:   Attention and Cognition for Computer Vision (James Crowley) - H201

Thursday 21 November 2019 -  9:45 to 12:45

Midterm Exam (50% of final grade) - D109

Thursday 28 November  2019- 9:45 to 12:45
(Open Book - Notes and references authorised. Bring a calculator (smart phones and tablets forbidden)
Arrive Early!

Lesson 8:   Structure from Motion (Edmond Boyer) - H201

Thursday 5  December 2019   -  9:45 to 12:45  

Lesson 9: Structure from Motion (Edmond Boyer) - H201

Thursday 12  December 2019  -  9:45 to 12:45

Lesson 10: Shape Models (Edmond Boyer) - H204

Thursday 19  December 2019   -  9:45 to 12:45 

Thursday 26 December 2020 Christmas holidays - no class

Thursday 2 january 2020 - New Years holidays - no clas

Lesson 11: Articulated Motion (Edmond Boyer)

Thursday 9 janvier 2020   -  9:45 to 12:45

Lesson 12: Articulated Motion (Edmond Boyer)

Thursday  16 janvier 2020   -  9:45 to 12:45 

 


Exercise Problem Sets (Do these at home or in a group)

Lesson 1: Human Vision: Attention and Fixation
Lesson 2: Neural Networks
Lesson 3: Homogeneous Coordinates and Camera Models
Lesson 4: Local Image Description with Receptive Fields

Lesson 5: Pyramids, Scale Space and Scale Invariant Interest Points
Lesson 6: Bayesian Detection and Tracking



Past Exams

M2R GVR 2016:    Computer Vision Exam from November 2016
M2R GVR 2014:    Computer Vision Exam from November 2014
M2R GVR 2012:    Computer Vision Exam from November 2012
M2R GVR 2011:    Computer Vision Exam from November 2011
M2R GVR 2010:    Computer Vision Exam from November 2010
M2R GVR 2009:    Computer Vision Exam from Sept 2009