NDLI: Clifford convolution and pattern matching on vector fields

Content Provider	IEEE Xplore Digital Library
Author	Ebling, J. Scheuermann, G.
Copyright Year	2003
Description	Author affiliation: Kaiserslautern, Germany (Ebling, J.; Scheuermann, G.)
Abstract	The goal of this paper is to define a convolution operation which transfers image processing and pattern matching to vector fields from flow visualization. For this, a multiplication of vectors is necessary. Clifford algebra provides such a multiplication of vectors. We define a Clifford convolution on vector fields with uniform grids. The Clifford convolution works with multivector filter masks. Scalar and vector masks can be easily converted to multivector fields. So, filter masks from image processing on scalar fields can be applied as well as vector and scalar masks. Furthermore, a method for pattern matching with Clifford convolution on vector fields is described. The method is independent of the direction of the structures. This provides an automatic approach to feature detection. The features can be visualized using any known method like glyphs, isosurfaces or streamlines. The features are defined by filter masks instead of analytical properties and thus the approach is more intuitive.
Sponsorship	IEEE Comput. Soc. Tech. Comm. on Visualisation and Graphics
Starting Page	193
Ending Page	200
File Size	1399445
Page Count	8
File Format	PDF
ISBN	0780381203
DOI	10.1109/VISUAL.2003.1250372
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convolution Pattern matching Visualization Image processing Computer vision Streaming media Algebra Filters Image edge detection Feature extraction
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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