@article{garces12intrinsic,
    author = {Garces, Elena and Mu\~{n}oz, Adolfo and Lopez-Moreno, Jorge and Gutierrez, Diego},
    title = {Intrinsic Images by Clustering},
    journal = {Computer Graphics Forum (EGSR 2012)},
    year = {2012},
    volume = {31},
    number = {4},
    issn = {0167-7055},
    doi = {10.1111/j.1467-8659.2012.03137.x},
    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.},
    month = jun,
    pages = {1415–1424},
    numpages = {10},
    keywords = {I.3.3 [Computer Graphics]: Picture/Image Generation—}
}