These class notes can be found at http://www-prima.imag.fr/Prima/jlc/Courses/2008/GVR.VO/GVR-VO.html

The Physics of Light

The Human Visual System

Color Spaces and Color Models

The Human Visual System

Color Spaces and Color Models

The Pinhole Camera Model

Edges and Contrast Contours

Early Methods for Edge Detection: Roberts and Sobel

Image Derivatives: A modern view on contrast

Edges and Contrast Contours

Early Methods for Edge Detection: Roberts and Sobel

Image Derivatives: A modern view on contrast

The Hough Transform

Second Derivatives and the Laplacian Operator

Gaussian Derivative Operators

Second Derivatives and the Laplacian Operator

Gaussian Derivative Operators

Gaussian Derivative
Operators

The Sampled Gaussian Functions

Properties of Gaussian Receptive Fields (or Wavelets)

Using the Gaussian to compute image derivatives

Gaussian Scale Space

Continuous Scale Space:

Discrete Scale Space

Scale Invariant Pyramids

The Sampled Gaussian Functions

Properties of Gaussian Receptive Fields (or Wavelets)

Using the Gaussian to compute image derivatives

Gaussian Scale Space

Continuous Scale Space:

Discrete Scale Space

Scale Invariant Pyramids

Invariant Image description

Color Opponent Scale Space

Scale Invariant Interest Points

Scale Invariant Feature Transform

Recognition, Detection and Classification

Bayes Rule

Bayes Rule using Histograms

Probabilité Density Functions

Baysian Classification

Color Opponent Scale Space

Scale Invariant Interest Points

Scale Invariant Feature Transform

Recognition, Detection and Classification

Bayes Rule

Bayes Rule using Histograms

Probabilité Density Functions

Baysian Classification