M2R - MSc in Informatics

Option: Graphics Vision and Robotics

Computer Vision 

Professors: James L. Crowley, Edmond Boyer, Peter Sturm

Lesson 1:   Projective Geometry (Edmond Boyer)

Lesson 2:  Homogeneous Coordinates and Projective Cameras (James Crowley)

• Points, Lines and Planes in Homogeneous Coordinates 
• Cross Products
• Coordinate Transforms 
• The Projective Camera Model

Lesson 3:  Visual Perception in Man and Machine (James Crowley)

Lesson 4: Detecting and Tracking Objects with Color, Edge Detection (James Crowley)

• Probabilistic Detection of Color
• Bayesian Tracking of Blobs
  
• Edge detectors as image filters
• Sobel Edge Detector
  

Lesson 5:  Describing Image Content with Edges    (James Crowley)

• Describing local appearance with derivatives
• Image Derivatives
• Image smoothing with Binomial Filters
  
• Gaussan Derivatives as image filters
• Hough Transform
  

31 october 2013  Fall Vacation (Toussaint) 

Lesson 6: Gaussian Derivatives and Scale Space (James Crowley)

• Scale Space
• Multi-resolution Image Pyramids

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

Midterm Exam (50% of final grade)

Lesson 8:   Calibration and Image Mosaics (Peter Sturm)

Lesson 9: Structure from Motion (Peter Sturm) 

Lesson 10: Structure from Motion (Peter Sturm)

Lesson 11: Shape Models (Edmond Boyer)

26 December 20123

02 January 2013 - New Years Vacation

Lesson 12: Articulated Motion (Edmond Boyer)

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

Past Exams