Intrinsic Images by Clustering
| dc.contributor.author | Garces, Elena | en_US |
| dc.contributor.author | Munoz, Adolfo | en_US |
| dc.contributor.author | Lopez-Moreno, Jorge | en_US |
| dc.contributor.author | Gutierrez, Diego | en_US |
| dc.contributor.editor | Fredo Durand and Diego Gutierrez | en_US |
| dc.date.accessioned | 2015-02-28T07:35:28Z | |
| dc.date.available | 2015-02-28T07:35:28Z | |
| dc.date.issued | 2012 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.description.volume | 31 | |
| dc.identifier.doi | 10.1111/j.1467-8659.2012.03137.x | |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2012.03137.x | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
| dc.subject | I.3.3 [Computer Graphics] | en_US |
| dc.subject | Picture/Image Generation | en_US |
| dc.title | Intrinsic Images by Clustering | en_US |