Intrinsic Images by Clustering
Date
2012Author
Garces, Elena
Munoz, Adolfo
Lopez-Moreno, Jorge
Gutierrez, Diego
Metadata
Show full item recordAbstract
Decomposing an input image into its intrinsic shading and reflectance components is a long-standing ill-posed problem. We present a novel algorithm that requires no user strokes and works on a single image. Based on simple assumptions about its reflectance and luminance, we first find clusters of similar reflectance in the image, and build a linear system describing the connections and relations between them. Our assumptions are less restrictive than widely-adopted Retinex-based approaches, and can be further relaxed in conflicting situations. The resulting system is robust even in the presence of areas where our assumptions do not hold. We show a wide variety of results, including natural images, objects from the MIT dataset and texture images, along with several applications, proving the versatility of our method.
BibTeX
@article {10.1111:j.1467-8659.2012.03137.x,
journal = {Computer Graphics Forum},
title = {{Intrinsic Images by Clustering}},
author = {Garces, Elena and Munoz, Adolfo and Lopez-Moreno, Jorge and Gutierrez, Diego},
year = {2012},
publisher = {The Eurographics Association and Blackwell Publishing Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/j.1467-8659.2012.03137.x}
}
journal = {Computer Graphics Forum},
title = {{Intrinsic Images by Clustering}},
author = {Garces, Elena and Munoz, Adolfo and Lopez-Moreno, Jorge and Gutierrez, Diego},
year = {2012},
publisher = {The Eurographics Association and Blackwell Publishing Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/j.1467-8659.2012.03137.x}
}