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dc.contributor.authorLee, Y.en_US
dc.contributor.authorLee, S.en_US
dc.date.accessioned2015-02-16T11:48:17Z
dc.date.available2015-02-16T11:48:17Z
dc.date.issued2002en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/1467-8659.t01-1-00582en_US
dc.description.abstractFeature detection is important in various mesh processing techniques, such as mesh editing, mesh morphing, mesh compression, and mesh signal processing. In spite of much research in computer vision, automatic feature detection even for images still remains a difficult problem. To avoid this difficulty, semi-automatic or interactive techniques for image feature detection have been investigated. In this paper, we propose a geometric snake as an interactive tool for feature detection on a 3D triangular mesh. A geometric snake is an extension of an image snake, which is an active contour model that slithers from its initial position specified by the user to a nearby feature while minimizing an energy functional. To constrain the movement of a geometric snake onto the surface of a mesh, we use the parameterization of the surrounding region of a geometric snake. Although the definition of a feature may vary among applications, we use the normal changes of faces to detect features on a mesh. Experimental results demonstrate that geometric snakes can successfully capture nearby features from user-specified initial positions.en_US
dc.publisherBlackwell Publishers, Inc and the Eurographics Associationen_US
dc.titleGeometric Snakes for Triangular Meshesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume21en_US
dc.description.number3en_US
dc.identifier.doi10.1111/1467-8659.t01-1-00582en_US
dc.identifier.pages229-238en_US


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