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Graph."],"published-print":{"date-parts":[[2013,7,21]]},"abstract":"<jats:p>\n            We present an algorithm for denoising triangulated models based on\n            <jats:italic>L<\/jats:italic>\n            <jats:sub>0<\/jats:sub>\n            minimization. Our method maximizes the flat regions of the model and gradually removes noise while preserving sharp features. As part of this process, we build a discrete differential operator for arbitrary triangle meshes that is robust with respect to degenerate triangulations. We compare our method versus other anisotropic denoising algorithms and demonstrate that our method is more robust and produces good results even in the presence of high noise.\n          <\/jats:p>","DOI":"10.1145\/2461912.2461965","type":"journal-article","created":{"date-parts":[[2013,7,16]],"date-time":"2013-07-16T18:06:45Z","timestamp":1373998005000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":144,"title":["Mesh denoising via\n            <i>L<\/i>\n            <sub>0<\/sub>\n            minimization"],"prefix":"10.1145","volume":"32","author":[{"given":"Lei","family":"He","sequence":"first","affiliation":[{"name":"Texas A&amp;M University"}]},{"given":"Scott","family":"Schaefer","sequence":"additional","affiliation":[{"name":"Texas A&amp;M University"}]}],"member":"320","published-online":{"date-parts":[[2013,7,21]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/588272.588276"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.862083"},{"key":"e_1_2_2_3_1","unstructured":"Clarenz U. 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