ACM Home Page
Please provide us with feedback. Feedback
Deep photo: model-based photograph enhancement and viewing
Full text MovMov (25:19),  PdfPdf (24.98 MB)
Source International Conference on Computer Graphics and Interactive Techniques archive
ACM SIGGRAPH Asia 2008 papers table of contents
Singapore
SESSION: Fun with single images table of contents
Article No. 116  
Year of Publication: 2008
ISSN:0730-0301
Also published in ...
Authors
Johannes Kopf  University of Konstanz
Boris Neubert  University of Konstanz
Billy Chen  Microsoft
Michael Cohen  Microsoft Research
Daniel Cohen-Or  Tel Aviv University
Oliver Deussen  University of Konstanz
Matt Uyttendaele  Microsoft Research
Dani Lischinski  The Hebrew University
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 50,   Downloads (12 Months): 496,   Citation Count: 0
Additional Information:

abstract   references   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/10.1145/1457515.1409069
What is a DOI?

ABSTRACT

In this paper, we introduce a novel system for browsing, enhancing, and manipulating casual outdoor photographs by combining them with already existing georeferenced digital terrain and urban models. A simple interactive registration process is used to align a photograph with such a model. Once the photograph and the model have been registered, an abundance of information, such as depth, texture, and GIS data, becomes immediately available to our system. This information, in turn, enables a variety of operations, ranging from dehazing and relighting the photograph, to novel view synthesis, and overlaying with geographic information. We describe the implementation of a number of these applications and discuss possible extensions. Our results show that augmenting photographs with already available 3D models of the world supports a wide variety of new ways for us to experience and interact with our everyday snapshots.


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
Chen, B., Ramos, G., Ofek, E., Cohen, M., Drucker, S., and Nister, D. 2008. Interactive techniques for registering images to digital terrain and building models. Microsoft Research Technical Report MSR-TR-2008-115.
 
3
 
4
5
 
6
7
 
8
E-on Software, 2008. Vue 6 Infinite. http://www.e-onsoftware.com/products/vue/vue_6_infinite.
 
9
10
 
11
 
12
13
14
15
 
16
 
17
Kaftory, R., Schechner, Y. Y., and Zeevi, Y. Y. 2007. Variational distance-dependent image restoration. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2007, 1--8.
 
18
Kang, S. B. 1998. Depth painting for image-based rendering applications. Tech. rep., Compaq Cambridge Research Lab.
19
 
20
 
21
McCartney, E. J. 1976. Optics of the Atmosphere: Scattering by Molecules and Particles. John Wiley and Sons, New York, NY, USA.
 
22
Narasimhan, S. G., and Nayar, S. K. 2003. Contrast restoration of weather degraded images. IEEE Transactions on Pattern Analysis and Machine Intelligence 25, 6, 713--724.
 
23
Narasimhan, S. G., and Nayar, S. K. 2003. Interactive (de)weathering of an image using physical models. IEEE Workshop on Color and Photometric Methods in Computer Vision.
 
24
NASA, 2008. The landsat program. http://landsat.gsfc.nasa.gov/.
 
25
NASA, 2008. Shuttle radar topography mission. http://www2.jpl.nasa.gov/srtm/.
 
26
 
27
 
28
Oakley, J. P., and Satherley, B. L. 1998. Improving image quality in poor visibility conditions using a physical model for contrast degradation. IEEE Transactions on Image Processing 7, 2, 167--179.
29
 
30
Reichmann, M., 2001. The art of photography. http://www.luminous-landscape.com/essays/theartof.shtml.
 
31
Schechner, Y. Y., and Averbuch, Y. 2007. Regularized image recovery in scattering media. IEEE Transactions on Pattern Analysis and Machine Intelligence 29, 9, 1655--1660.
 
32
Schechner, Y. Y., Narasimhan, S. G., and Nayar, S. K. 2003. Polarization-based vision through haze. Applied Optics 42, 3, 511--525.
33
 
34
35
 
36
Stamos, I., and Allen, P. K. 2000. 3-D model construction using range and image data. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1998, 531--536.
37
 
38
Tan, R. T. 2008. Visibility in bad weather from a single image. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2008, to appear.
39
40
41
 
42
 
43
Zhang, L., Dugas-Phocion, G., Samson, J.-S., and Seitz, S. M. 2002. Single-view modelling of free-form scenes. The Journal of Visualization and Computer Animation 13, 4, 225--235.

Collaborative Colleagues:
Johannes Kopf: colleagues
Boris Neubert: colleagues
Billy Chen: colleagues
Michael Cohen: colleagues
Daniel Cohen-Or: colleagues
Oliver Deussen: colleagues
Matt Uyttendaele: colleagues
Dani Lischinski: colleagues