These class notes can be found at
http://www-prima.imag.fr/Prima/jlc/Courses/2009/GVR.VO/GVR-VO.html
Homogeneous Coordinates
Tensor notation
Coordinate Transforms in Homogeneous Coordinates
Projective Camera Models
Calibration
Homographic Transforms
The Physics of Light
The Human Visual System
Color Spaces and Color Models
Edges and Contrast Contours
Early Methods for Edge Detection: Roberts and Sobel
Image Derivatives: A modern view on contrast
Binomial Smoothing
Measuring contrast with smoothed difference filters
The Hough Transform
Second Derivatives and the Laplacian Operator
Gaussian Derivative
Operators
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
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)