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Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. (arXiv:2206.08365v1 [cs.CV])
Web: http://arxiv.org/abs/2206.08365
June 17, 2022, 1:13 a.m. | Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba
cs.CV updates on arXiv.org arxiv.org
Recovering the spatial layout of the cameras and the geometry of the scene
from extreme-view images is a longstanding challenge in computer vision.
Prevailing 3D reconstruction algorithms often adopt the image matching paradigm
and presume that a portion of the scene is co-visible across images, yielding
poor performance when there is little overlap among inputs. In contrast, humans
can associate visible parts in one image to the corresponding invisible
components in another image via prior knowledge of the shapes. Inspired …
More from arxiv.org / cs.CV updates on arXiv.org
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