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The limitations of the live-wire segmentation include two aspects: (1) computing the wire as the segmentation boundary is time-consuming and (2) a great deal of interactions for dental mesh is inevitable. For overcoming these disadvantages, 3D intelligent scissors for dental mesh segmentation based on live-wire is presented. Two tensor-based anisotropic metrics for making wire lie at valleys and ridges are defined, and a timesaving anisotropic Dijkstra is adopted. Besides, to improve with the smoothness of the path tracking back by the traditional Dijkstra, a 3D midpoint smoothing algorithm is proposed. Experiments show that the method is effective for dental mesh segmentation and the proposed tool outperforms in time complexity and interactivity.<\/jats:p>","DOI":"10.1155\/2020\/1394231","type":"journal-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T18:30:52Z","timestamp":1580495452000},"page":"1-12","source":"Crossref","is-referenced-by-count":4,"title":["3D Intelligent Scissors for Dental Mesh Segmentation"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8279-2499","authenticated-orcid":true,"given":"Shuai","family":"Yang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Tiangong University, Tianjin, China"},{"name":"Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems, Tianjin, 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