Structure tensor: Difference between revisions

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well. For example, local shifting of edge locations in minimized when
applying a [[Gaussian smoothing operator]] element-by-element to the structure
tensor <ref name="Medioni">{{cite conference|author=M. Nicolescu and G. Medioni
tensor [Nicolescu and Medioni, 2003]. Furthermore, the cancellations of
|title=Motion Segmentation with Accurate Boundaries — A Tensor Voting Approach|booktitle=Proc. IEEE Computer Vision and Pattern Recognition|volume=1|pages=pp.382–389|year=2003}}</ref>. Furthermore, the cancellations of
opposing gradient polarity directions are prevented when structure tensors
are summed <ref>{{cite journal|author=T. Brox, J. Weickert, B. Burgeth and P. Mrazek|title=Nonlinear Structure Tensors|booktitle=Universitat des Saarlandes, Tech. Report|issue=113|pages=1–32|year=2004}}</ref>.
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The differences between the eigenvalues indicate underlying structure as
well. For example, if the value of (L1-L2)>>0, this depicts a "surfel,"
surface element, where e1 is the normal to the surface<ref>{{cite conference|authorname=M"Medioni"/>. Nicolescu and G. Medioni
|title=Motion Segmentation with Accurate Boundaries — A Tensor Voting Approach|booktitle=Proc. IEEE Computer Vision and Pattern Recognition|volume=1|pages=pp.382–389|year=2003}}</ref>.
 
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