Convolutional color constancy

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 379-387

  Barron, Jonathan T ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTER VISION;

COLOR CONSTANCY; IMPROVE PERFORMANCE; NATURAL OBJECTS; SPATIAL LOCALIZATION; STATISTICAL REGULARITY; STRUCTURED PREDICTION; UNDER-CONSTRAINED;

COLOR;

EID: 84973861164     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.51     Document Type: Conference Paper

References (38)

1. A. Alahi, R. Ortiz, and P. Vandergheynst. FREAK: Fast Retina Keypoint. CVPR, 2012.
2. R. Arandjelovic and A. Zisserman. Three things everyone should know to improve object retrieval. CVPR, 2012.
3. K. Barnard. Improvements to gamut mapping colour constancy algorithms. ECCV, 2000.
4. K. Barnard, L. Martin, A. Coath, and B. Funt. A comparison of computational color constancy algorithms-part 2: Experiments with image data. TIP, 2002.
5. J. T. Barron, P. Arbeláez, S. V. E. Keränen, M. D. Biggin, D. W. Knowles, and J. Malik. Volumetric semantic segmentation using pyramid context features. ICCV, 2013.
6. H. G. Barrow and J. M. Tenenbaum. Recovering Intrinsic Scene Characteristics from Images. Academic Press, 1978.
7. S. Belongie, J. Malik, and J. Puzicha. Shape context: A new descriptor for shape matching and object recognition. NIPS, 2000.
8. A. C. Berg and J. Malik. Geometric blur for template matching. CVPR, 2001.
9. S. Bianco and R. Schettini. Color constancy using faces. CVPR, 2012.
10. D. H. Brainard and W. T. Freeman. Bayesian color constancy. JOSA A, 1997.
11. D. H. Brainard and B. A. Wandell. Analysis of the retinex theory of color vision. JOSA A, 1986.
12. G. Buchsbaum. A spatial processor model for object colour perception. Journal of the Franklin Institute, 1980.
13. A. Chakrabarti, K. Hirakawa, and T. Zickler. Color constancy with spatio-spectral statistics. TPAMI, 2012.
14. D. Cheng, D. K. Prasad, and M. S. Brown. Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution. JOSA A, 2014.
15. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. CVPR, 2005.
16. M. Everingham, L. Gool, C. K. Williams, J. Winn, and A. Zisserman. The pascal visual object classes (voc) challenge. IJCV, 2010.
17. P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. TPAMI, 2010.
18. G. D. Finlayson. personal communication.
19. G. D. Finlayson. Corrected-moment illuminant estimation. ICCV, 2013.
20. G. D. Finlayson and S. D. Hordley. Color constancy at a pixel. JOSA-A, 2001.
21. G. D. Finlayson, S. D. Hordley, and P. M. Hubel. Color by correlation: A simple, unifying framework for color constancy. TPAMI, 2001.
22. G. D. Finlayson and E. Trezzi. Shades of gray and colour constancy. Color Imaging Conference, 2004.
23. D. A. Forsyth. A novel algorithm for color constancy. IJCV, 1990.
24. P. Gehler, C. Rother, A. Blake, T. Minka, and T. Sharp. Bayesian color constancy revisited. CVPR, 2008.
25. A. Gijsenij and T. Gevers. Color constancy using natural image statistics and scene semantics. TPAMI, 2011.
26. A. Gijsenij, T. Gevers, and J. van de Weijer. Computational color constancy: Survey and experiments. TIP, 2011.
27. A. L. Gilchrist. Seeing Black and White. Oxford University Press, 2006.
28. R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. CVPR, 2014.
29. B. Hariharan, J. Malik, and D. Ramanan. Discriminative decorrelation for clustering and classification. ECCV, 2012.
30. H. R. V. Joze, M. S. Drew, G. D. Finlayson, and P. A. T. Rey. The role of bright pixels in illumination estimation. Color Imaging Conference, 2012.
31. Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to handwritten zip code recognition. Neural Computation, 1989.
32. H. Rowley, S. Baluja, and T. Kanade. Neural network-based face detection. TPAMI, 1998.
33. L. Shi and B. Funt. Re-processed version of the gehler color constancy dataset of 568 images. http: //www. cs. sfu. ca/ colour/data/.
34. B. Taskar, V. Chatalbashev, D. Koller, and C. Guestrin. Learning structured prediction models: A large margin approach. ICML, 2005.
35. E. Tola, V. Lepetit, and P. Fua. DAISY: An Efficient Dense Descriptor Applied to Wide Baseline Stereo. TPAMI, 2010.
36. J. van de Weijer, T. Gevers, and A. Gijsenij. Edge-based color constancy. TIP, 2007.
37. P. Viola and M. Jones. Robust real-time object detection. IJCV, 2001.
38. J. von Kries. Die gesichtsempfindungen. Handbuch der Physiologie des Menschen, 1905.