Compressive structured light for recovering inhomogeneous participating media

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

Volumn 5305 LNCS, Issue PART 4, 2008, Pages 845-858

  Gu, Jinwei ^a   Nayar, Shree ^a   Grinspun, Eitan ^a   Belhumeur, Peter ^a   Ramamoorthi, Ravi ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; RECOVERY; SIGNAL TO NOISE RATIO;

ACQUISITION PROCESS; COMPRESSIVE SENSING; INTEGRAL MEASUREMENTS; ITERATIVE ALGORITHM; PARTICIPATING MEDIA; PARTICIPATING MEDIUM; RECONSTRUCTION PROCESS; STRUCTURED LIGHT;

ITERATIVE METHODS;

EID: 56749153657     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88693-8_62     Document Type: Conference Paper

References (24)

1. Salvi, J., Pages, J., Batlle, J.: Pattern codification strategies in structured light systems. Pattern Recognition 37, 827-849 (2004)
2. Narasimhan, S., Nayar, S., Sun, B., Koppal, S.: Structured light in scattering media. In: ICCV 2005, pp. 420-427 (2005)
3. Hawkins, T., Einarsson, P., Debevec, P.: Acquisition of time-varying participating media. In: SIGGRAPH 2005, pp. 812-815 (2005)
4. Deusch, S., Dracos, T.: Time resolved 3D passive scalar concentration-field imaging by induced fluorescence (LIF) in moving liquids. Measurement Science and Technology 12(2), 188-200 (2001)
5. Fuchs, C., Chen, T., Goesele, M., Theisel, H., Seidel, H.: Density estimation for dynamic volumes. Computers and Graphics 31(2), 205-211 (2007)
6. Candes, E.J., Romberg, J.: Sparsity and incoherence in compressive sampling. Inverse Problems 23(3), 969-985 (2007)
7. Donoho, D.: Compressed sensing. IEEE Trans. on Information Theory 52(4), 1289-1306 (2006)
8. Schechner, Y.Y., Nayar, S.K., Belhumeur, P.N.: A theory of multiplexed illumination. In: ICCV 2003, pp. 808-815 (2003)
9. Willett, R., Gehm, M., Brady, D.: Multiscale reconstruction for computational spectral imaging. In: Computational Imaging V at SPIE Electronic Imaging (2007)
10. Lustig, M., Donoho, D., Pauly, J.M.: Sparse MRI: The application of compressed sensing for rapid MRI imaging. Magnetic Resonance in Medicine 58(6), 1182-1195 (2007)
11. Wright, J., Yang, A., Ganesh, A., Sastry, S., Ma, Y.: Robust face recognition via sparse representation (2008)
12. Hasinoff, S., Kutulakos, K.: Photo-consistent reconstruction of semi-transparent scenes by density sheet decomposition. IEEE Trans. on PAMI 29(5), 870-885 (2007)
13. Ihrke, I., Magnor, M.: Image-based tomographic reconstruction of flames. In: SCA, pp. 361-375 (2004)
14. Ihrke, I., Magnor, M.: Adaptive grid optical tomography. Graphical Models 68(5), 484-495 (2006)
15. Trifonov, B., Bradley, D., Heidrich, W.: Tomographic reconstruction of transparent objects. In: EGSR, pp. 51-60 (2006)
16. Ihrke, I., Kutulakos, K.N., Lensch, H.P.A., Magnor, M., Heidrich, W.: State of the art in transparent and specular object reconstruction. In: STAR Proc. of Eurographics (2008)
17. Candes, E.J., Romberg, J., Tao, T.: Stable signal recovery from incomplete and inaccurate measurements. Communications on Pure and Applied Mathematics 59(8), 1207-1223 (2006)
18. Ishimaru, A.: Wave Propagation and Scattering in Random Media. IEEE Press, New York (1978)
19. GLPK: The Gnu Linear Programming Kit, http://www.gnu.org/software/glpk
20. Olshausen, B.A., Field, D.J.: Emergence of simple-cell receptive field properties by learing a sparse code for natural images. Nature 381, 607-608 (1996)
21. Simoncelli, E.P.: Statistical models for images: compression restoration and synthesis. In: Proc. Asilomar Conference on Signals, Systems and Computers, pp. 673-678 (1997)
22. Rudin, L.I., Osher, S., Fatemi, E.: Nonlinear total variation noise removal algorithm. Physica D 60, 259-268 (1992)
23. Schroeder, W., Martin, K., Lorensen, B.: The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, 4th edn. Pearson Eduction, Inc., London (2006)
24. Nayar, S.K., Krishnan, G., Grossberg, M.D., Raskar, R.: Fast separation of direct and global components of a scene using high frequency illumination. SIGGRAPH 2006, 935-944 (2006)