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publications:iccv2009 [2010/06/09 16:06]
kimo
publications:iccv2009 [2010/07/18 12:01] (current)
kimo
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===== Abstract ===== ===== Abstract =====
The intrinsic image decomposition aims to retrieve "intrinsic" properties of an image, such as shading and reflectance. To make it possible to quantitatively compare different approaches to this problem in realistic settings, we present a ground-truth dataset of intrinsic image decompositions for a variety of real-world objects.  For each object, we separate an image of it into three components: Lambertian shading, reflectance, and specularities. We use our dataset to quantitatively compare several existing algorithms; we hope that this dataset will serve as a means for evaluating future work on intrinsic images. The intrinsic image decomposition aims to retrieve "intrinsic" properties of an image, such as shading and reflectance. To make it possible to quantitatively compare different approaches to this problem in realistic settings, we present a ground-truth dataset of intrinsic image decompositions for a variety of real-world objects.  For each object, we separate an image of it into three components: Lambertian shading, reflectance, and specularities. We use our dataset to quantitatively compare several existing algorithms; we hope that this dataset will serve as a means for evaluating future work on intrinsic images.
 +
 +===== Project page =====
 +[[http://people.csail.mit.edu/rgrosse/intrinsic/ | Intrinsic images dataset]]
 +
===== Information ===== ===== Information =====
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summary_page : publications:iccv2009 summary_page : publications:iccv2009
keyword_tags : grosse, johnson, adelson, freeman keyword_tags : grosse, johnson, adelson, freeman
-pdf_url    : http://people.csail.mit.edu/kimo+pdf_url    : http://people.csail.mit.edu/kimo/publications/intrinsic/iccv09-intrinsic.pdf
type       : publication type       : publication
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publications/iccv2009.1276114014.txt.gz · Last modified: 2010/06/09 16:06 by kimo