Skip to main content
Article thumbnail
Location of Repository

Reconstructing occluded surfaces using synthetic apertures: Stereo, focus and robust measures

By Vaibhav Vaish, Richard Szeliski, C. L. Zitnick, Sing Bing Kang and Marc Levoy


Most algorithms for 3D reconstruction from images use cost functions based on SSD, which assume that the surfaces being reconstructed are visible to all cameras. This makes it difficult to reconstruct objects that are partially occluded. Recently, researchers working with large camera arrays have shown it is possible to “see through ” occlusions using a technique called synthetic aperture focusing. This suggests that we can design alternative cost functions that are robust to occlusions using synthetic apertures. Our paper explores this design space. We compare classical shape from stereo with shape from synthetic aperture focus. We also describe two variants of multi-view stereo based on color medians and entropy that increase robustness to occlusions. We present an experimental comparison of these cost functions on complex light fields, measuring their accuracy against the amount of occlusion. 1

Year: 2006
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.