M2R - MSc in Informatics

Option: Graphics Vision and Robotics

Computer Vision 

Professors: James L. Crowley, Edmond Boyer

These class notes can be found at http://www-prima.imag.fr/Prima/jlc/Courses/2009/GVR.VO/GVR-VO.html

24 Sept 2009 Lesson 1- Homogeneous Coordinates and Projective Camera Models (James Crowley)

Homogeneous Coordinates
Tensor notation
Coordinate Transforms in Homogeneous Coordinates

1 October 2009 Lesson 2 - Visual Peception in Man and Machine (James Crowley)

Projective Camera Models
Homographic Transforms
The Physics of Light
The Human Visual System

8 October 2008 Lesson 3 - Color Perception and Contrast Description (James Crowley)

Color Spaces and Color Models
Edges and Contrast Contours
Early Methods for Edge Detection: Roberts and Sobel
Image Derivatives: A modern view on contrast

15 October 2009 Lesson 4 - Contrast Description with Edge Features (James Crowley)

Binomial Smoothing
Measuring contrast with smoothed difference filters
The Hough Transform
Second Derivatives and the Laplacian Operator
Gaussian Derivative Operators

21 October  2009 Lesson 5 - Describing Local Appearance with  Gaussian Derivatives and Scale Space (James Crowley)

Describing Local Appearance
The Sampled Gaussian Functions
Properties of Gaussian Receptive Fields (or Wavelets)
Using the Gaussian to compute image derivatives
Scale and Rotation Invariance
Invariant Image description
Color Opponent Scale Space

12 November 2009  Lesson 6 - View Invariant Bayesian Recognition (James Crowley)

        Scale and Rotation Invariant Image Description
        Discrete Scale Space - Scale invariant impulse response.
        Scale Invariant  Interest Points
        Bayesian Recognition
        Classification by Ratio of Histograms of pixel values

19 November 2009 Midterm exam

Past exams:
Second Session 2008/2009 - Exam Sept 2009
First session exam 2008/2009 - Part I - 29 Jan 2009

26 November 2009 Lesson 7 Projective Geometry (Edmond Boyer)

03 December 2009 Lesson 8 Structure From Motion (Edmond Boyer)

09 December 2009 Lesson 9 Reconstruction (Edmond Boyer)

10 December 2009 Lesson 10 3D Shape Modeling (Edmond Boyer)

07 January 2010 Lesson 11 Motion Models, Articulated  Motion (Edmond Boyer)

14 January 2010 Lesson 12 Action Recognition (Edmond Boyer)