Robust shadow and illumination estimation using a mixture model

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 651-658

  Panagopoulos, Alexandros ^a   Samaras, Dimitris ^a   Paragios, Nikos ^b,c  

^a Stony Brook University   (United States)

^b ECOLE CENTRALE PARIS   (France)

^c INRIA SACLAY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AUGMENTED REALITY; GRAPHIC METHODS; LIGHT SOURCES; MIXTURES; TEXTURES;

3D INFORMATION; GRAPHICAL MODEL; ILLUMINANT ESTIMATION; ILLUMINATION ESTIMATION; ILLUMINATION INVARIANT; TEXTURED SURFACE; UNDERLYING SURFACE; VON MISES-FISHER DISTRIBUTION;

COMPUTER VISION;

EID: 70450181213     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206665     Document Type: Conference Paper

References (24)

1. R. Azuma. A survey of augmented reality. In Com- puter Graphics (SIGGRAPH'95 Proceedings, Course Notes 9: Developing Advanced Virtual Reality Applications, 1995.
2. A. Banerjee, I. S. Dhillon, J. Ghosh, and S. Sra. Clustering on the unit hypersphere using von mises-fisher distributions. Journal of Machine Learning Research, 6:1345-1382, 2005.
3. S. T. Birchfield, B. Natarajan, and C. Tomasi. Correspondence as energy-based segmentation. Image and Vision Com- puting, 25(8):1329-1340, 2007.
4. M. de la Gorce, N. Paragios, and D. Fleet. Model-based hand tracking with texture, shading and self-occlusions. In CVPR, pages 1-8, 2008.
5. G. Finlayson, M. Drew, and C. Lu. Intrinsic images by entropy minimization. In ECCV, pages 582-595, 2004.
6. G. Finlayson, S. Hordley, C. Lu, and M. Drew. On the removal of shadows from images. IEEE Trans. PAMI, 28(1):59-68, 2006.
7. T. Gevers and A. W. M. Smeulders. Color based object recognition. Pattern Recognition, 32:453-464, 1999.
8. C. Han, B. Sun, R. Ramamoorthi, and E. Grinspun. Frequency domain normal map filtering. ACM Trans. on Graph- ics (Proc. of SIGGRAPH 2007), 26(3):28, 2007.
9. K. Hara, K. Nishino, and K. Ikeuchi. Light source position and reflectance estimation from a single view without the distant illumination assumption. IEEE Trans. PAMI, 27(4):493- 505, 2005.
10. K. Hara, K. Nishino, and K. Ikeuchi. Mixture of spherical distributions for single-view relighting. IEEE Trans. Pattern Anal. Mach. Intell., 30(1):25-35, 2008.
11. D. Hoiem, A. A. Efros, and M. Hebert. Putting objects in perspective. IJCV, 80(1):3-15, 2008.
12. J. Hsieh, W. Hu, C. Chang, and Y. Chen. Shadow elimination for effective moving object detection by gaussian shadow modeling. Image and Vision Computing, 21(6):505-516, 2003.
13. A. Joshi and N. Papanikolopoulos. Learning to detect moving shadows in dynamic environments. IEEE Trans. PAMI, 30:2055-2063, 2008.
14. T. Kim and K. Hong. A practical approach for estimating illumination distribution from shadows using a single image. International Journal of Intelligent Systems and Technologies, 15(2):143-154, 2005.
15. Y. Li, S. Lin, H. Lu, and H.-Y. Shum. Multiple-cue illumination estimation in textured scenes. In ICCV, pages 1366- 1373, 2003.
16. H. Nicolas and J. Pinel. Joint moving cast shadows segmentation and light source detection in video sequences. Signal processing:Image communication, 21:22-43, 2006.
17. F. Porikli and J. Thornton. Shadow flow: A recursive method to learn moving cast shadows. In ICCV, pages I: 891-898, 2005.
18. R. Ramamoorthi, M. Koudelka, and P. Belhumeur. A fourier theory for cast shadows. IEEE Trans. PAMI, 27(2):288-295, 2005.
19. E. Salvador, A. Cavallaro, and T. Ebrahimi. Cast shadow segmentation using invariant color features. Comput. Vis. Image Underst., 95(2):238-259, 2004.
20. I. Sato, Y. Sato, and K. Ikeuchi. Illumination from shadows. IEEE Trans. PAMI, 25(3):290-300, 2003.
21. Y. Wang and D. Samaras. Estimation of multiple directional light sources for synthesis of augmented reality images. Graphical Models, 65(4):185-205, 2003.
22. Y. Yang and A. Yuille. Sources from shading. In CVPR, pages 534-539, 1991.
23. W. Zhang, X. Fang, and X. Yang. Moving cast shadows detection based on ratio edge. In International Conference on Pattern Recognition, pages IV: 73-76, 2006.
24. W. Zhou and C. Kambhamettu. A unified framework for scene illuminant estimation. Image and Vision Computing, 26(3):415-429, 2008.