ACM Home Page
Please provide us with feedback. Feedback
Fast separation of direct and global components of a scene using high frequency illumination
Full text MovMov (23:44),  PdfPdf (1.07 MB)
Source ACM Transactions on Graphics (TOG) archive
Volume 25 ,  Issue 3  (July 2006) table of contents
Proceedings of ACM SIGGRAPH 2006
SESSION: Image capture table of contents
Pages: 935 - 944  
Year of Publication: 2006
ISSN:0730-0301
Also published in ...
Authors
Shree K. Nayar  Columbia University
Gurunandan Krishnan  Columbia University
Michael D. Grossberg  City University of New York
Ramesh Raskar  MERL
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 34,   Downloads (12 Months): 241,   Citation Count: 15
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1141911.1141977
What is a DOI?

ABSTRACT

We present fast methods for separating the direct and global illumination components of a scene measured by a camera and illuminated by a light source. In theory, the separation can be done with just two images taken with a high frequency binary illumination pattern and its complement. In practice, a larger number of images are used to overcome the optical and resolution limitations of the camera and the source. The approach does not require the material properties of objects and media in the scene to be known. However, we require that the illumination frequency is high enough to adequately sample the global components received by scene points. We present separation results for scenes that include complex interreflections, subsurface scattering and volumetric scattering. Several variants of the separation approach are also described. When a sinusoidal illumination pattern is used with different phase shifts, the separation can be done using just three images. When the computed images are of lower resolution than the source and the camera, smoothness constraints are used to perform the separation using a single image. Finally, in the case of a static scene that is lit by a simple point source, such as the sun, a moving occluder and a video camera can be used to do the separation. We also show several simple examples of how novel images of a scene can be computed from the separation results.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
 
3
Chandrasekhar, S. 1950. Radiative Transfer. Clarendon Press, Oxford, UK. reprinted by Dover Publications, 1960.
 
4
 
5
 
6
7
8
9
 
10
Koenderink, J., and Van Doorn, A. 1983. Geometrical modes as a general method to treat diffuse interreflections in radiometry. JOSA 73, 6 (June), 843--850.
11
 
12
 
13
Mallick, S. P., Zickler, T., Belhumeur, P. N., and Kriegman, D. J. 2006. Specularity removal in images and videos: A PDE approach. In Proc. of ECCV.
 
14
 
15
 
16
17
 
18
Shim, H., and Chen, T. 2005. A statistical framework for image-based relighting. In Proc. of ICASSP.
19
 
20
Tsumura, N., Ojima, N., Sato, K., Shiraishi, M., Shimizu, H., Nabeshima, H., Akazaki, S., Hori, K., and Miyake, Y. 2003. Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin. In Proc. of SIGGRAPH, ACM Press, 770--779.
 
21
Woodham, R. 1980. Photometric Method for Determining Surface Orientation from Multiple Images. Optical Engineering 19, 1 (January), 139--144.
 
22
 
23
 
24

CITED BY  15
 

Collaborative Colleagues:
Shree K. Nayar: colleagues
Gurunandan Krishnan: colleagues
Michael D. Grossberg: colleagues
Ramesh Raskar: colleagues