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Hierarchical upsampling for fast image-based depth estimation

Published: 07 August 2011 Publication History

Abstract

While many stereo vision algorithms can quickly and robustly estimate sparse geometry from sets of photos, dense reconstruction, where depth estimate is required at per-pixel or sub-pixel level, remains a time-consuming and memory-intensive process. In this work, we propose a fast hierarchical upsampling method for dense image-based depth estimation. The main idea is to start from sparse depth estimates that can be quickly computed using any existing multiview stereopsis tool, then iteratively upsample the depth values to obtain a dense reconstruction consisting of millions of points. Using a GPU-based implementation, the upsampling algorithm can perform up to 15 images per second. The results can be directly used for 3D modeling applications; in addition, they can be used to digitally manipulate the depth-of-field effects in the input images in order to simulate refocusing.

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References

[1]
Kopf, J., Cohen, M. F., Lischinski, D., and Uyttendaele, M. 2007. Joint bilateral upsampling. ACM Trans. Graph. 26, 3.
[2]
Snavely, N., Seitz, S. M., and Szeliski, R. 2006. Photo tourism: exploring photo collections in 3d. ACM Trans. Graph. 25, 3, 835--846.

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  1. Hierarchical upsampling for fast image-based depth estimation

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      cover image ACM Conferences
      SIGGRAPH '11: ACM SIGGRAPH 2011 Posters
      August 2011
      92 pages
      ISBN:9781450309714
      DOI:10.1145/2037715
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 07 August 2011

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