A Compositional Model for Low-Dimensional Image Set Representation

A Compositional Model for Low-Dimensional Image Set Representation

Learning a low-dimensional representation of images is useful for various applications in graphics and computer vision. Existing solutions either require manually specified landmarks for corresponding points in the images, or are restricted to specific objects or shape deformations. This paper allev...

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Bibliographic Details
Main Authors: Mobahi, Hossein, Liu, Ce, 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) 2015
Online Access:http://hdl.handle.net/1721.1/100401
https://orcid.org/0000-0001-8074-1092
https://orcid.org/0000-0002-2231-7995

Internet

http://hdl.handle.net/1721.1/100401
https://orcid.org/0000-0001-8074-1092
https://orcid.org/0000-0002-2231-7995

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