M2R - MSc in Informatics

Graphics Vision and Robotics
and  Ubiquitous Interface Systems

Computer Vision 

Professors: James L. Crowley and Edmond Boyer

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

Lesson 2:  Homogeneous Coordinates and Projective Camera Models (James Crowley)

13 october 2016 - ENSIMAG Partners Day - no classes

Lesson 3:  Describing Images with Contrast Contours  (James Crowley)

• Describing Images with Contrast
• Edge Detection
  
• Image smoothing with Binomial Filters
  
• The Hough Transform

27 october 2016  Fall Vacation (Toussaint) - no classes

3 November 2016  Fall Vacation (Toussaint) - no classes

Lesson 4: Describing Local Appearance with Gaussian Derivatives  (James Crowley)

• Beyond Edges - Describing Local Appearance
• Image Description Using Gaussian Derivatives
• Designing Gaussian low-pass digital filters
• Using the Gaussian to compute image derivatives

Lesson 5: Scale Space,  Pyramids, HoG, and SIFT    (James Crowley) 

Lesson 6: Haar Wavelets, Boosted Learning and the Viola Jones Face Detector   (James Crowley) 

Midterm Exam (50% of final grade)

Lesson 7: Projective Geometry (Edmond Boyer) 

Lesson 8:   Calibration and Image Mosaics (Edmond Boyer)

Thursday 22 December 2016- Christmas - no class

Thursday 29 December 2016 - New Years Vacation - no class

Lesson 9: Structure from Motion (Edmond Boyer)

Lesson 10: Structure from Motion (Edmond Boyer)

Lesson 11: Shape Models (Edmond Boyer)

Lesson 12: Articulated Motion (Edmond Boyer)

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

Past Exams