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ICMCS
2009
IEEE

Video face recognition with graph-based semi-supervised learning

8 years 8 months ago
Video face recognition with graph-based semi-supervised learning
We consider the problem of classification of multiple observations of the same object, possibly under different transformations. We view this problem as a special case of semi-supervised learning where all unlabelled examples belong to the same unknown class. We propose a low complexity solution that is able to exploit the properties of the data manifold with a graph-based algorithm. It results into a discrete optimization problem, which can be solved by an efficient algorithm. We demonstrate its performance in video-based face recognition applications, where it outperforms state-of-the-art solutions that fall short of exploiting the manifold structure of the face image data sets.
Effrosini Kokiopoulou, Pascal Frossard
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICMCS
Authors Effrosini Kokiopoulou, Pascal Frossard
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