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Intrinsic Image Decomposition Using Paradigms
David Forsyth
, Jason J. Rock
Electrical and Computer Engineering
Information Trust Institute
Siebel School of Computing and Data Science
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Mathematics
Variance
100%
Neural Network
100%
Computer Graphic
100%
Real Image
100%
Classical Approach
100%
Equivariant
100%
Geometric Surface
100%
Keyphrases
Albedo
100%
Intrinsic Image Decomposition
100%
Intrinsic Images
33%
Synthetic Images
22%
Spatial Modeling
22%
Image Method
22%
Human Judgment
22%
Averaging Method
22%
Ground Truth Data
22%
Neural Network
11%
Smoothing Methods
11%
Real Image
11%
Good Behavior
11%
Surface Model
11%
Geometric Model
11%
Computer Graphics
11%
Qualitative Properties
11%
Short Scale
11%
Stress Assessment
11%
Human Annotation
11%
Illumination Model
11%
Equivariant
11%
Scale Factor Error
11%
Graphic Model
11%
Surface Well
11%
Geometric Surfaces
11%
Via Optimization
11%
Map Image
11%
Rendered Image
11%
Modern Literature
11%
Narrow Groove
11%
Wood Grain
11%
Computer Science
Synthetic Image
100%
Annotation
100%
Neural Network
50%
Qualitative Property
50%
Computer Graphic
50%
Control Procedure
50%
Earth and Planetary Sciences
Albedo
100%
Shading
77%
Computer Graphic
11%