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dc.contributor.authorWolin, A.en_US
dc.contributor.authorPaulson, B.en_US
dc.contributor.authorHammond, T.en_US
dc.contributor.editorCindy Grimm and Joseph J. LaViola, Jr.en_US
dc.date.accessioned2014-01-28T18:04:20Z
dc.date.available2014-01-28T18:04:20Z
dc.date.issued2009en_US
dc.identifier.isbn978-3-905674-19-4en_US
dc.identifier.issn1812-3503en_US
dc.identifier.urihttp://dx.doi.org/10.2312/SBM/SBM09/093-100en_US
dc.description.abstractFree-sketch recognition systems attempt to recognize freely-drawn sketches without placing stylistic constraints on the users. Such systems often recognize shapes by using geometric primitives that describe the shape's appearance rather than how it was drawn. A free-sketch recognition system necessarily allows users to draw several primitives using a single stroke. Corner finding, or vertex detection, is used to segment these strokes into their underlying primitives (lines and arcs), which in turn can be passed to the geometric recognizers. In this paper, we present a new multi-pass corner finding algorithm called MergeCF that is based on continually merging smaller stroke segments with similar, larger stroke segments in order to eliminate false positive corners. We compare MergeCF to two benchmark corner finders with substantial improvements in corner detection.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.6 [Computing Methodologies]: Image Processing and Computer Vision-Segmentation - Edge and feature detectionen_US
dc.titleSort, Merge, Repeat: An Algorithm for Effectively Finding Corners in Hand-sketched Strokesen_US
dc.description.seriesinformationEUROGRAPHICS Workshop on Sketch-Based Interfaces and Modelingen_US


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