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)

Lesson 3: Bayesian Detection and Tracking of Objects (James Crowley)

• Probabilistic Detection of Color
• Bayesian Tracking of Blobs
  
• The Kalman Filter
  

22 october 2015 - ENSIMAG Partners Day - no classes

29 october 2015  Fall Vacation (Toussaint) - no classes

Lesson 4:  Describing Images with Contrast Contours  (James Crowley)

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

Lesson 5: Projective Geometry (Edmond Boyer)

Lesson 6: 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
• Image Scale Space

Lesson 7: Scale Invariant Pyramids, HoG, SIFT and Haar   (James Crowley) 

Midterm Exam (50% of final grade)

Lesson 8:   Calibration and Image Mosaics (Edmond Boyer)

Lesson 9: Structure from Motion (Edmond Boyer)

Thursday 25 December 2015- Christmas - no class

Thursday 31 January 2015 - New Years Vacation - no class

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