Combining recognition and geometry for data-driven 3D reconstruction

Combining recognition and geometry for data-driven 3D reconstruction

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. === Cataloged from PDF version of thesis. === Includes bibliographical references (p. 47-50). === Today's multi-view 3D reconstruction techniques rely almost exclusively on depth cu...

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Bibliographic Details
Main Author: Owens, Andrew (Andrew Hale)
Other Authors: William T. Freeman and Antonio Torralba.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2013
Subjects:
Electrical Engineering and Computer Science.
Online Access:http://hdl.handle.net/1721.1/79237

Internet

http://hdl.handle.net/1721.1/79237

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