The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ground truth dataset and baseline evaluations for intrinsic image algorithms
Open accessAbstract
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.
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Cites
Fei-Fei, L., Fergus, R., & Perona, P. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2005.09.012 · Cited by 2,359
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Li, M., Liu, J., Yang, W., Sun, X., & Guo, Z. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2810539 · Cited by 1,245
Shape, Illumination, and Reflectance from Shading
Barron, J. T., & Malik, J. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2377712 · Cited by 656
Low-Light Image Enhancement via a Deep Hybrid Network
Ren, W., Liu, S., Ma, L., Xu, Q., Xu, X., Cao, X., Du, J., & Yang, M.-H. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2910412 · Cited by 508
Single Image Layer Separation Using Relative Smoothness
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Metadata
- Authors
- Grosse, R., Johnson, M. K., Adelson, E. H., & Freeman, W. T.
- Venue
- 2009 IEEE 12th International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 2009-09
- Pages
- 2335-2342
- OpenAlex
- W2113404166
- Cited by
- 426
- References
- 1
- FWCI
- 12.42
- Type
- conference paper
- Language
- en
- Open access
- green
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- Grosse, R., Johnson, M. K., Adelson, E. H., & Freeman, W. T. (2009). Ground truth dataset and baseline evaluations for intrinsic image algorithms. 2009 IEEE 12th International Conference on Computer Vision. https://doi.org/10.1109/iccv.2009.5459428
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