Name
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. © 2012 Wiley Periodicals, Inc. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1111/j.1467-8659.2012.03137.x | Comput. Graph. Forum |
Keywords | Field | DocType |
similar reflectance,resulting system,mit dataset,wiley periodicals,linear system,texture image,input image,intrinsic images,natural image,single image,reflectance component | Color constancy,Computer vision,Cluster (physics),Linear system,Computer science,Artificial intelligence,Cluster analysis,Reflectivity,Luminance,Instrumental and intrinsic value | Journal |
Volume | Issue | ISSN |
31 | 4 | 0167-7055 |
Citations | PageRank | References |
29 | 0.94 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elena Garces | 1 | 90 | 7.03 |
| Adolfo Munoz | 2 | 70 | 3.74 |
| Jorge Lopez-Moreno | 3 | 161 | 11.30 |
| diego gutierrez | 4 | 1263 | 91.03 |