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Surface reflectance and normal estimation from photometric stereo
Qingxiong Yang,
Narendra Ahuja
National Center for Supercomputing Applications (NCSA)
Electrical and Computer Engineering
Siebel School of Computing and Data Science
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Keyphrases
Color Image
100%
Linear Relationship
100%
Surface Normal
100%
Photometric Stereo
100%
Surface Normal Estimation
100%
Surface Reflectance Estimation
100%
Real Image
50%
Estimation Problem
50%
Separation Techniques
50%
Synthetic Images
50%
Linear Systems
50%
Least Squares Optimization
50%
Diffuse Reflection
50%
Diffuse Surfaces
50%
Component Separation
50%
Chromaticity
50%
Reflection Components Separation
50%
Dichromatic Reflection Model
50%
Photometric Stereo Method
50%
Computer Science
Photometric Stereo
100%
Linear Relationship
66%
Invariant
66%
Least Squares Method
33%
Linear Systems
33%
Reflection Model
33%