圖1:真實的人的特點以及脖子,手臂,腿.當(dāng)中存在一個雙方的關(guān)系.簡單說,這種關(guān)系強調(diào)一定的樣式適合身體的某一特定部分;以下我們將正規(guī)系統(tǒng)的翻譯、解釋.建立這種關(guān)系的信息可以系統(tǒng)地從關(guān)于服裝樣式的CAD 信息和以下提供的信息中摘取.下面我們還將告訴你怎樣得到精確的幾何學(xué)解釋.2.2.1 cad系統(tǒng)服裝樣式的信息是以二維服裝模式為代表的.樣式的縫合曲線是有一系列的二維vertices給出的.另外,關(guān)于縫合曲線一定有另外的縫制信息.這是通過一組接逢留料表明樣式的一部分應(yīng)當(dāng)與對應(yīng)的那部分縫合在一起來完成的.注意,接縫的兩個曲線并不是一定要一樣長.圖2,是一件女士夾克及其接口和縫制信息.
只有一半,時間不夠啊!
英譯中2--有關(guān)服裝的,
英譯中2--有關(guān)服裝的,
Figure 1:Virtual human with feature points andbody segment hulls for neck,arms andlegs.A binary relationisLyingOn cp × bsh.Informally this relation is expressing that(the projection of) a certain pattern ismainly lying on a certain body segmenthull.The formal interpretation requires thealgorithmic methods that are described be-low.The necessary information to build these rela-tions can be extracted algorithmically from theCAD information of the cloth patterns and theannotations that we give below.In the followingsubsection we also show how the precise “geo-metric” interpretation of these properties has tobe obtained.2.2.1 Information on cloth patternsWithin a CAD system garments are representedby their two-dimensional cloth patterns.Thebounding curves of the patterns are given by asequence of two-dimensional vertices.In addi-tion to the bounding curves,there must be givensome sewing information.This is done by a setof seams that indicate,which part of one pat-tern has to be sewn together with correspondingparts of other patterns.Note that the two corre-sponding curves of a seam need not have neces-sarily the same length.In Figure 2 the bound-ing curves and sewing information of a femalejacket are shown.So the relation isDirectlySewedWith isan obvious coarsening of this CAD informationthat can easily be extracted algorithmically fromthese CAD information.Figure 2:Cloth patterns of a jacket and thesewing information.For interaction-free pre-positioning of clothpatterns additional information is needed.Forexample,a skirt can be rotated around the hipand you may not be able to determine the in-tended positions.Thus you need the positionand orientation in relation to the human body ofat least one pattern to determine the right posi-tions of the cloth patterns.This is done by giv-ing a two-dimensional position of a nearby fea-ture point in relation to this pattern and an up-vector which points in the direction of the prin-cipal axis of the appropriate body segment.For our pre-positioning algorithm,we requirethe position of one feature point for one patternper body segment.Clearly,this information isindependent from the size of the human figureand thus must be stored only once.Figure 3shows the structure of a piece of clothing con-taining all the information that is required forthe pre-positioning.From the garment data structure the prop-erties liesOn and isLyingOn can be ex-tracted.The pre-positioning algorithm is de-scribed in more detail in [14].It gives a rea-sonable geometric interpretation to this prop-erties:the pre-positioning and a physics-based“end positioning” yield the geometric shape ofthe collection of virtual garments with respectto a specific 3D virtual human.3
Figure 1:Virtual human with feature points andbody segment hulls for neck,arms andlegs.A binary relationisLyingOn cp × bsh.Informally this relation is expressing that(the projection of) a certain pattern ismainly lying on a certain body segmenthull.The formal interpretation requires thealgorithmic methods that are described be-low.The necessary information to build these rela-tions can be extracted algorithmically from theCAD information of the cloth patterns and theannotations that we give below.In the followingsubsection we also show how the precise “geo-metric” interpretation of these properties has tobe obtained.2.2.1 Information on cloth patternsWithin a CAD system garments are representedby their two-dimensional cloth patterns.Thebounding curves of the patterns are given by asequence of two-dimensional vertices.In addi-tion to the bounding curves,there must be givensome sewing information.This is done by a setof seams that indicate,which part of one pat-tern has to be sewn together with correspondingparts of other patterns.Note that the two corre-sponding curves of a seam need not have neces-sarily the same length.In Figure 2 the bound-ing curves and sewing information of a femalejacket are shown.So the relation isDirectlySewedWith isan obvious coarsening of this CAD informationthat can easily be extracted algorithmically fromthese CAD information.Figure 2:Cloth patterns of a jacket and thesewing information.For interaction-free pre-positioning of clothpatterns additional information is needed.Forexample,a skirt can be rotated around the hipand you may not be able to determine the in-tended positions.Thus you need the positionand orientation in relation to the human body ofat least one pattern to determine the right posi-tions of the cloth patterns.This is done by giv-ing a two-dimensional position of a nearby fea-ture point in relation to this pattern and an up-vector which points in the direction of the prin-cipal axis of the appropriate body segment.For our pre-positioning algorithm,we requirethe position of one feature point for one patternper body segment.Clearly,this information isindependent from the size of the human figureand thus must be stored only once.Figure 3shows the structure of a piece of clothing con-taining all the information that is required forthe pre-positioning.From the garment data structure the prop-erties liesOn and isLyingOn can be ex-tracted.The pre-positioning algorithm is de-scribed in more detail in [14].It gives a rea-sonable geometric interpretation to this prop-erties:the pre-positioning and a physics-based“end positioning” yield the geometric shape ofthe collection of virtual garments with respectto a specific 3D virtual human.3
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