乐胖代购免代理版

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In the presence of large shape variations, common geometric features, however, are no longer sufficiently descriptive. In this paper, we explore an indirect top\u2010down approach, where instead of part geometry, part arrangements<\/jats:italic> extracted from each model are compared. The key observation is that while a direct comparison of part geometry can be ambiguous, part arrangements, being higher level structures, remain consistent, and hence can be used to discover latent commonalities among semantically related shapes. We show that our indirect analysis leads to the detection of recurring arrangements of parts, which are otherwise difficult to discover in a direct unsupervised setting. We evaluate our algorithm on ground truth datasets and report advantages over geometric similarity\u2010based bottom\u2010up co\u2010segmentation algorithms.<\/jats:p>","DOI":"10.1111\/cgf.12309","type":"journal-article","created":{"date-parts":[[2014,6,2]],"date-time":"2014-06-02T03:57:49Z","timestamp":1401681469000},"page":"115-124","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Recurring part arrangements in shape collections"],"prefix":"10.1111","volume":"33","author":[{"given":"Youyi","family":"Zheng","sequence":"first","affiliation":[{"name":"KAUST"}]},{"given":"Daniel","family":"Cohen\u2010Or","sequence":"additional","affiliation":[{"name":"Tel Aviv University"}]},{"given":"Melinos","family":"Averkiou","sequence":"additional","affiliation":[{"name":"University College London"}]},{"given":"Niloy J.","family":"Mitra","sequence":"additional","affiliation":[{"name":"KAUST"},{"name":"University College London"}]}],"member":"311","published-online":{"date-parts":[[2014,6]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2009.01.003"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.60"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1778841"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1360612.1360641"},{"key":"e_1_2_8_6_1","doi-asserted-by":"crossref","unstructured":"[FSH11]\u00a0\u00a0FisherM. 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