Presentation's plan
First part : Introduction to the problematic
Why the lighting conditions ?
The light : essential image component
Lighting conditions : temporal cue
Lighting conditions : spatial cue
Lighting conditions : define the image quality
The nature of the light
Geometric and spectral aspect of the light
Photometric and colorimetric aspect of the light
Common light sources
Locus of planckian radiators
Color information : how can it help ?
Spectral integration
The dichromatic reflection model
Light reflection : Transmission
Light reflection : Absorption
Light reflection : Reflection
Light reflection : Geometrical aspect
Light reflection : Spectral aspect
Body reflection / Surface reflection
The dichromatic plane
Photometric characterization of the lighting conditions
Shadow detection
Reflectance edge / Luminance edge
Detection cues
The shadow and the dichromatic reflection model
The algorithm 1
The algorithm 2
The algorithm 3
The algorithm 4
Results (Strong direct light)
Results (Direct light with ambient light)
Results (Ambient light)
Global luminance contrast measurement
Comparing the luminance contrast of two images
Sky detection
Types of sky (1)
Types of sky (2)
Types of sky (3)
Visual perception cues
Algorithm (1)
Algorithm (2)
Algorithm (3)
Algorithm (4)
Algorithm (5)
Results (Distinction sky / sea)
Results (Distinction sky / blue paint)
Results (Detecting a mixed)
Results (Detecting a covered sky)
Detection statistics
Classification according to the chrominance signal
Detecting the illuminant's chrominance
Dichromatic plane / dichromatic line / Dichromatic convergence
Color segmentation advantages
Regions filtering
Chromatic convergence determination