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ESANN
2001

Canonical correlation analysis in early vision processing

8 years 4 months ago
Canonical correlation analysis in early vision processing
This paper illustrates how canonical correlation analysis can be used for designing efficient visual operators by learning. The approach is highly task oriented and what constitutes the relevant information is defined by a set of examples. The examples are pairs of images displaying a strong dependence in the chosen feature but are otherwise independent. Experimental results are presented illustrating the learning of local shift invariant orientation operators, representation of velocity, and image content invariant disparity operators.
Magnus Borga, Hans Knutsson
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where ESANN
Authors Magnus Borga, Hans Knutsson
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