Title
A method for estimating light direction, shape, and reflection parameters from a single image
Abstract
This paper presents a novel approach for estimating light direction, shape, and reflectance parameters from a single image based on iterative optimisation. We depart from a generalist view of the reflection process based upon a physical interpretation and cast the recovery of the reflection parameters in an optimisation setting. With the estimated specular reflectance parameters, we recover the light source direction from specular highlights while applying two novel constraints, coplanarity and Kullback-Leibler divergence. Then, by integrating the knowledge of light source direction and diffuse reflectance parameters, we recover shape of the scene from diffuse component. Our approach is quite general in nature and can be applied to a family of reflectance models that are based on the Fresnel reflection theory. We demonstrate the utility of our method on synthetic and real world imagery.
Year
DOI
Venue
2013
10.1109/ICIP.2013.6738419
Image Processing
Keywords
Field
DocType
image processing,iterative methods,optimisation,parameter estimation,Fresnel reflection theory,Kullback-Leibler divergence,coplanarity divergence,iterative optimisation,light direction parameter estimation,reflectance parameter estimation,shape parameter estimation,Light,reflection parameters,shape
Specular highlight,Computer vision,Iterative method,Computer science,Fresnel equations,Specular reflection,Image processing,Coplanarity,Diffuse reflection,Artificial intelligence,Estimation theory
Conference
ISSN
Citations 
PageRank 
1522-4880
1
0.41
References 
Authors
19
3
Name
Order
Citations
PageRank
Sejuti Rahman152.19
Antonio Robles-Kelly299179.88
Robles-Kelly, A.371.37