1999
DOI: 10.1016/s0010-4485(99)00068-8
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Feature-based reverse engineering of mannequin for garment design

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Cited by 59 publications
(33 citation statements)
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“…The stochastic forest algorithm [5][6][7][8] uses the bagging model to construct a number of independent trees by using a stochastic, random set of training sample sets and stochastic feature sets. The algorithm uses several independent decision tree to vote for the prediction As a result, the algorithm flow is as follows:…”
Section: Feature Recognition Of 3d Humanmentioning
confidence: 99%
“…The stochastic forest algorithm [5][6][7][8] uses the bagging model to construct a number of independent trees by using a stochastic, random set of training sample sets and stochastic feature sets. The algorithm uses several independent decision tree to vote for the prediction As a result, the algorithm flow is as follows:…”
Section: Feature Recognition Of 3d Humanmentioning
confidence: 99%
“…Au and M.M.F. Yuen [1] propose a feature-based reverse engineering method for mannequin in garment design. An automated reverse engineering approach for human torsos creates accurate parameterized models.…”
Section: Literature Surveymentioning
confidence: 99%
“…Međutim, u tom slučaju se nije moglo doći do potpunih podataka sa 3D modela ljudskog tela, pa je bilo teško stvarati praktične odevne uzorke. Nedavno su, usled razvitka tehnologije merenja bez kontakta, podaci sa 3D ljudskog tela postali dostupni i urađeno je mnogo studija vezanih za ovu temu (McCartney et al, 2000;Daanen & Water, 1998;Au & Yuen, 1999;Paquette, 1996). Kim et al su pokušali da stvore uzorke odeće kombinovanjem podataka sa 3D ljudskog modela i odevnog modela.…”
Section: Primena Računarskog Sistemaunclassified