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ECCV
2002
Springer

Representing Edge Models via Local Principal Component Analysis

14 years 5 months ago
Representing Edge Models via Local Principal Component Analysis
Edge detection depends not only upon the assumed model of what an edge is, but also on how this model is represented. The problem of how to represent the edge model is typically neglected, despite the fact that the representation is a bottleneck for both computational cost and accuracy. We propose to represent edge models by a partition of the edge manifold corresponding to the edge model, where each local element of the partition is described by its principal components. We describe the construction of this representation and demonstrate its benefits for various edge models.
Patrick S. Huggins, Steven W. Zucker
Added 16 Oct 2009
Updated 16 Oct 2009
Type Conference
Year 2002
Where ECCV
Authors Patrick S. Huggins, Steven W. Zucker
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