Bayesian view synthesis and image-based rendering principles

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 3906-3913

  Pujades, Sergi ^a,b   Devernay, Frédéric ^a,b   Goldluecke, Bastian ^c  

^a UNIV GRENOBLE ALPES   (France)

^b UNIV GRENOBLE ALPES   (France)

^c Heidelberg Collaboratory for Image Processing   (Germany)

Author keywords

bayesian framework; depth uncertainty; generative model; image based rendering

Indexed keywords

BAYESIAN NETWORKS; GEOMETRY; HEURISTIC METHODS; IMAGE PROCESSING; PATTERN RECOGNITION;

BAYESIAN FORMULATION; BAYESIAN FRAMEWORKS; DEPTH UNCERTAINTY; GENERATIVE MODEL; IMAGE BASED RENDERING; MAXIMUM A POSTERIORI ESTIMATES; PHYSICAL PHENOMENA; STATE-OF-THE-ART METHODS;

RENDERING (COMPUTER GRAPHICS);

EID: 84911380910     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.499     Document Type: Conference Paper

References (31)

1. S. Baker and T. Kanade. Limits on super-resolution and how to break them. PAMI, 24(9):1167-1183, 2002.
2. A. Beck and M. Teboulle. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIIMS, 2(1):183-202, 2009.
3. T. Bishop and P. Favaro. The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution. PAMI, 34(5):972-986, 2012.
4. C. Buehler, M. Bosse, L. McMillan, S. Gortler, and M. Cohen. Unstructured Lumigraph rendering. In Proc. SIG-GRAPH, pages 425-432. ACM, 2001.
5. A. Chambolle. An algorithm for total variation minimization and applications. Journal of Mathematical imaging and vision, 20(1-2):89-97, 2004.
6. C.-F. Chang, G. Bishop, and A. Lastra. LDI tree: A hierarchical representation for image-based rendering. In Proc. SIGGRAPH, pages 291-298. ACM, 1999.
7. S. E. Chen and L. Williams. View interpolation for image synthesis. In Proc. SIGGRAPH, pages 279-288. ACM, 1993.
8. T. S. Cho, C. L. Zitnick, N. Joshi, S. B. Kang, R. Szeliski, and W. T. Freeman. Image restoration by matching gradient distributions. PAMI, 34(4):683-694, 2012.
9. P. Debevec, Y. Yu, and G. Borshukov. Efficient view-dependent image-based rendering with projective texture-mapping. Springer, 1998.
10. B. Goldluecke and D. Cremers. Superresolution Texture Maps for Multiview Reconstruction. In Proc. ICCV, 2009.
11. S. J. Gortler, R. Grzeszczuk, R. Szeliski, and M. F. Cohen. The Lumigraph. In Proc. SIGGRAPH, pages 43-54. ACM, 1996.
12. S. Laveau and O. D. Faugeras. 3-d scene representation as a collection of images. In Proc. CVPR, volume 1, pages 689-691. IEEE, 1994.
13. M. Levoy and P. Hanrahan. Light field rendering. In Proc. SIGGRAPH, pages 31-42. ACM, 1996.
14. L. McMillan and G. Bishop. Plenoptic modeling: An image-based rendering system. In Proc. SIGGRAPH, pages 39-46. ACM, 1995.
15. R. Raskar and K.-L. Low. Blending multiple views. In Proc. of Pacific Graphics, pages 145-153. IEEE, 2002.
16. S. Roth and M. J. Black. Fields of experts: A framework for learning image priors. In Proc. CVPR, volume 2, pages 860-867. IEEE, 2005.
17. J. Shade, S. Gortler, L.-W. He, and R. Szeliski. Layered depth images. In Proc. SIGGRAPH, pages 231-242. ACM, 1998.
18. Q. Shan, J. Jia, and A. Agarwala. High-quality motion de-blurring from a single image. In Proc. TOG, volume 27, page 73. ACM, 2008.
19. H.-Y. Shum, S.-C. Chan, and S. B. Kang. Image-based rendering. Springer, 2007.
20. H.-Y. Shum and L.-W. He. Rendering with concentric mosaics. In Proc. SIGGRAPH, pages 299-306. ACM, 1999.
21. A. Smolic, K. Muller, K. Dix, P. Merkle, P. Kauff, and T. Wiegand. Intermediate view interpolation based on multiview video plus depth for advanced 3D video systems. In Proc. ICIP, pages 2448-2451. IEEE, 2008.
22. K. Takahashi. Theory of optimal view interpolation with depth inaccuracy. In Proc. ECCV, pages 340-353. Springer, 2010.
23. K. Takahashi and T. Naemura. Super-resolved free-viewpoint image synthesis using semi-global depth estimation and depth-reliability-based regularization. In Advances in Image and Video Technology, pages 22-35. Springer, 2012.
24. M. Tanimoto. Overview of free viewpoint television. Signal Processing: Image Communication, 21(6):454-461, 2006.
25. V. Vaish and A. Adams. The (New) Stanford Light Field Archive. http://lightfield.stanford.edu, 2008.
26. P. Vangorp, G. Chaurasia, P.-Y. Laffont, R. W. Fleming, and G. Drettakis. Perception of visual artifacts in image-based rendering of façades. In Computer Graphics Forum, volume 30, pages 1241-1250. Wiley Online Library, 2011.
27. S. Vedula, S. Baker, and T. Kanade. Image-based spatiotemporal modeling and view interpolation of dynamic events. Proc. TOG, 24(2):240-261, 2005.
28. S. Wanner and B. Goldluecke. Spatial and angular varia-tional super-resolution of 4D light fields. In Proc. ECCV, pages 608-621. Springer, 2012.
29. S. Wanner, S. Meister, and B. Goldluecke. Datasets and benchmarks for densely sampled 4D light fields. In Proc. VMV, 2013.
30. G. Wolberg. Image morphing: a survey. The visual computer, 14(8):360-372, 1998.
31. C. L. Zitnick, S. B. Kang, M. Uyttendaele, S. Winder, and R. Szeliski. High-quality video view interpolation using a layered representation. In Proc. TOG, volume 23, pages 600-608. ACM, 2004.