Color constancy, intrinsic images, and shape estimation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7575 LNCS, Issue PART 4, 2012, Pages 57-70

  Barron, Jonathan T ^a   Malik, Jitendra ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR CONSTANCY; DATA SETS; IMAGE DECOMPOSITION; INFERENCE PROBLEM; OPTIMIZATION SCHEME; PROBLEM FORMULATION; SHAPE ESTIMATION; SHAPE FROM SHADING; SINGLE IMAGES; UNIFIED MODEL;

COLOR COMPUTER GRAPHICS; REFLECTION;

COMPUTER VISION;

EID: 84867877098     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33765-9_5     Document Type: Conference Paper

References (29)

1. Barron, J.T., Malik, J.: Shape, albedo, and illumination from a single image of an unknown object. In: CVPR (2012)
2. Grosse, R., Johnson, M.K., Adelson, E.H., Freeman, W.T.: Ground-truth dataset and baseline evaluations for intrinsic image algorithms. In: ICCV (2009)
3. van Helmholtz, H.: Treatise on physiological optics, 2 vols., translated. Optical Society of America, Washington, DC (1924)
4. Land, E.H., McCann, J.J.: Lightness and retinex theory. JOSA (1971)
5. Horn, B.K.P.: Determining lightness from an image. Computer Graphics and Image Processing (1974)
6. Forsyth, D.A.: A novel algorithm for color constancy. IJCV (1990)
7. Maloney, L.T., Wandell, B.A.: Color constancy: a method for recovering surface spectral reflectance. JOSA A (1986)
8. Klinker, G., Shafer, S., Kanade, T.: A physical approach to color image understanding. IJCV (1990)
9. Finlayson, G., Hordley, S., Hubel, P.: Color by correlation: a simple, unifying framework for color constancy. TPAMI (2001)
10. Brainard, D.H., Freeman, W.T.: Bayesian color constancy. JOSA A (1997)
11. Gijsenij, A., Gevers, T., van de Weijer, J.: Generalized gamut mapping using image derivative structures for color constancy. IJCV (2010)
12. Gehler, P., Rother, C., Kiefel, M., Zhang, L., Schoelkopf, B.: Recovering intrinsic images with a global sparsity prior on reflectance. In: NIPS (2011)
13. Barrow, H., Tenenbaum, J.: Recovering intrinsic scene characteristics from images. In: Computer Vision Systems (1978)
14. Tappen, M.F., Freeman, W.T., Adelson, E.H.: Recovering intrinsic images from a single image. TPAMI (2005)
15. Shen, J., Yang, X., Jia, Y., Li, X.: Intrinsic images using optimization. In: CVPR (2011)
16. Horn, B.K.P.: Shape from shading: A method for obtaining the shape of a smooth opaque object from one view. Technical report, MIT (1970)
17. Brooks, M.J., Horn, B.K.P.: Shape from shading. MIT Press (1989)
18. Zhang, R., Tsai, P., Cryer, J., Shah, M.: Shape-from-shading: a survey. TPAMI (1999)
19. Johnson, M.K., Adelson, E.H.: Shape estimation in natural illumination. In: CVPR (2011)
20. Gilchrist, A.: Seeing in Black and White. Oxford University Press (2006)
21. Boyaci, H., Doerschner, K., Snyder, J.L., Maloney, L.T.: Surface color perception in three-dimensional scenes. Visual Neuroscience (2006)
22. Barron, J.T., Malik, J.: High-frequency shape and albedo from shading using natural image statistics. In: CVPR (2011)
23. Shen, L., Yeo, C.: Intrinsic images decomposition using a local and global sparse representation of reflectance. In: CVPR (2011)
24. Alldrin, N., Mallick, S., Kriegman, D.: Resolving the generalized bas-relief ambiguity by entropy minimization. In: CVPR (2007)
25. Finlayson, G.D., Drew, M.S., Lu, C.: Entropy minimization for shadow removal. IJCV (2009)
26. Omer, I., Werman, M.: Color lines: Image specific color representation. In: CVPR (2004)
27. Principe, J.C., Xu, D.: Learning from examples with quadratic mutual information. In: Workshop on Neural Networks for Signal Processing (1998)
28. Chen, J., Paris, S., Durand, F.: Real-time edge-aware image processing with the bilateral grid. In: SIGGRAPH (2007)
29. Terzopoulos, D.: Image analysis using multigrid relaxation methods. TPAMI 8, 129-139 (1986)