Shape Anchors for Data-Driven Multi-view Reconstruction

We present a data-driven method for building dense 3D reconstructions using a combination of recognition and multi-view cues. Our approach is based on the idea that there are image patches that are so distinctive that we can accurately estimate their latent 3D shapes solely using recognition. We cal...

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Bibliographic Details
Main Authors: Xiao, Jianxiong, Torralba, Antonio, Owens, Andrew Hale, Freeman, William T.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2014
Online Access:http://hdl.handle.net/1721.1/91001
https://orcid.org/0000-0001-9020-9593
https://orcid.org/0000-0002-2231-7995
https://orcid.org/0000-0003-4915-0256