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Orientation diffusions

Perona, Pietro (1997) Orientation diffusions. In: 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Proceedings. IEEE , Piscataway, NJ, pp. 710-716. ISBN 0-7803-4236-4

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Diffusions provide a convenient way of smoothing noisy brightness images, of analyzing images at multiple scales, and of enhancing discontinuities. Some quantities of interest in computer vision are defined on curved manifolds; typical examples are orientation and hue that are defined on the circle. Generalizing diffusions to orientation is not straightforward, especially in the case where a discrete implementation is sought. An example of what may go wrong is presented. A method is proposed to define diffusions of orientation-like quantities. First a definition in the continuum is discussed, then a discrete orientation diffusion is proposed. The behavior of such diffusions is explored both analytically and experimentally. It is shown how such orientation diffusions contain a nonlinearity that is reminiscent of edge-process and anisotropic diffusion. A number of open questions are proposed at the end.

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Additional Information:© 1997 IEEE. Date of Current Version: 06 August 2002. This work was in part funded by NSF Grant IRI 9306155 on “Geometry driven diffusions” and by an NSF National Young Investigator Award.
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NSFIRI 9306155
NSF National Young Investigator AwardUNSPECIFIED
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INSPEC Accession Number5644236
Record Number:CaltechAUTHORS:20120125-130418670
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Official Citation:Perona, P.; , "Orientation diffusions," Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on , vol., no., pp.710-716, 17-19 Jun 1997 doi: 10.1109/CVPR.1997.609404 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:28965
Deposited By: Tony Diaz
Deposited On:26 Jan 2012 00:22
Last Modified:26 Jan 2012 00:22

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