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2019 research outputs found
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Tipping Point to the Peace Regime on the Korean Peninsula and Korea-Japan Relations (Research Article)
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Akerke Sultanova, Living in a Nuclear Test Site : The Present of Kazakhstan’s Semipalatinsk (Book Review)
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平成28年度芸術学研究科博士後期課程学位論文(抜粋) : 障がい者の創作活動支援を目的としたデザイン
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Sampling Shape Contours Using Optimization over a Geometric Graph
Get PDFapplication/pdfConsider selecting points on a contour in the x-y plane. In shape analysis, this is frequently referred to as contour sampling. It is important to select the points such that they effectively represent the shape of the contour. Generally, the stroke order and number of strokes are informative for that purpose. Several effective methods exist for sampling contours drawn with a certain stroke order and number of strokes, such as the English alphabet or Arabic figures. However, many contours entail an uncertain stroke order and number of strokes, such as pictures of symbols, and little research has focused on methods for sampling such contours. This is because selecting the points in this case typically requires a large computational cost to check all the possible choices. In this paper, we present a sampling method that is useful regardless of whether the contours are drawn with a certain stroke order and number of strokes or not. Our sampling method thereby expands the application possibilities of contour processing. We formulate contour sampling as a discrete optimization problem that can be solved using a type of direct search. Based on a geometric graph whose vertices are the points and whose edges form rectangles, we construct an effective objective function for the problem. Using different shape datasets, we demonstrate that our sampling method is effective with respect to shape representation and retrieval.journal articl
平成27、28年度特定研究費国際学術研究費 : アーティスト・イン・レジデンスによる国際交流やグローバル人材育成に関する研究
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