The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Deriving intrinsic images from image sequences
Abstract
Intrinsic images are a useful midlevel description of scenes proposed by H.G. Barrow and J.M. Tenenbaum (1978). An image is de-composed into two images: a reflectance image and an illumination image. Finding such a decomposition remains a difficult problem in computer vision. We focus on a slightly, easier problem: given a sequence of T images where the reflectance is constant and the illumination changes, can we recover T illumination images and a single reflectance image? We show that this problem is still imposed and suggest approaching it as a maximum-likelihood estimation problem. Following recent work on the statistics of natural images, we use a prior that assumes that illumination images will give rise to sparse filter outputs. We show that this leads to a simple, novel algorithm for recovering reflectance images. We illustrate the algorithm's performance on real and synthetic image sequences.
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Cites
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Olshausen, B. A., & Field, D. J. (1996) · Nature · doi:10.1038/381607a0 · Cited by 5,694
Land, E. H., & McCann, J. J. (1971) · Journal of the Optical Society of America · doi:10.1364/josa.61.000001 · Cited by 4,095
RECOVERING INTRINSIC SCENE CHARACTERISTICS FROM IMAGES
Barrow, H. G., & Tenenbaum, J. M. (1978) · Cited by 725
Construction of Panoramic Image Mosaics with Global and Local Alignment
Shum, H.-Y., & Szeliski, R. (2001) · Monographs in Computer Science · doi:10.1007/978-1-4757-3482-9_13 · Cited by 356
Statistical models for images: compression, restoration and synthesis
Simoncelli, E. P. (2002) · Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136) · doi:10.1109/acssc.1997.680530 · Cited by 270
From few to many: generative models for recognition under variable pose and illumination
Georghiades, A. S., Belhumeur, P. N., & Kriegman, D. J. (2002) · Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) · doi:10.1109/afgr.2000.840647 · Cited by 259
Yuille, A. L., Snow, D., Epstein, R., & Belhumeur, P. N. (1999) · International Journal of Computer Vision · doi:10.1023/a:1008180726317 · Cited by 170
Separating reflections from images by use of independent component analysis
Farid, H., & Adelson, E. H. (1999) · Journal of the Optical Society of America A · doi:10.1364/josaa.16.002136 · Cited by 134
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Agarwala, A., Dontcheva, M., Agrawala, M., Drucker, S., Colburn, A., Curless, B., Salesin, D., & Cohen, M. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015718 · Cited by 829
On the removal of shadows from images
Finlayson, G. D., Hordley, S. D., Lu, C., & Drew, M. S. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.18 · Cited by 657
Flash photography enhancement via intrinsic relighting
Eisemann, E., & Durand, F. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015778 · Cited by 593
On Advances in Statistical Modeling of Natural Images
Srivastava, A., Lee, A. B., Simoncelli, E. P., & Zhu, S.-C. (2003) · Journal of Mathematical Imaging and Vision · doi:10.1023/a:1021889010444 · Cited by 485
Single Image Layer Separation Using Relative Smoothness
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Metadata
- Authors
- Weiss, Y.
- Venue
- Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-13
- Volume
- 2
- Pages
- 68-75
- OpenAlex
- W2136748901
- Cited by
- 573
- References
- 8
- FWCI
- 14.48
- Type
- conference paper
- Language
- en
- Open access
- closed
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