Generation of Discrete Bicubic G^1 B-Spline Ship Hullform Surfaces from a Given Curve Network Using Virtual Iso-Parametric Curves

We propose a method that automatically generates discrete bicubic G^1 continuous B-spline surfaces that interpolate the curve network of a ship huliform.First,the curves in the network are classified into two types;boundary curves and ＂reference curves＂,The boundary curves correspond to a set of rectangular（or triangular）topological type that can be representes with tensot-product （or degenerate）B-spline surface patches.Next,in the interior of the patches,surface fitting points and cross boundary derivatives are estimated from the reference curves by constructing ＂virtual＂isoparametric curves.Finally,a discrete G^1 continuous B-spline surface is gencrated by a surface fitting algorithm.Several smooth ship hullform surfaces generated from curve networks corresponding to actual ship hullforms demonstrate the quality of the method.     

Constructing iterative non-uniform B-spline curve and surface to fit data points

In this paper, based on the idea of profit and loss modification, we presentthe iterative non-uniform B-spline curve and surface to settle a key problem in computeraided geometric design and reverse engineering, that is, constructing the curve (surface)fitting (interpolating) a given ordered point set without solving a linear system. We startwith a piece of initial non-uniform B-spline curve (surface) which takes the given point setas its control point set. Then by adjusting its control points gradually with iterative formula,we can get a group of non-uniform B-spline curves (surfaces) with gradually higherprecision. In this paper, using modern matrix theory, we strictly prove that the limit curve(surface) of the iteration interpolates the given point set. The non-uniform B-spline curves(surfaces) generated with the iteration have many advantages, such as satisfying theNURBS standard, having explicit expression, gaining locality, and convexity preserving,etc     

Contour curve reconstruction from cloud data for rapid prototyping

In this study, a method for generation of sectional contour curves directly from cloud point data is given. This method computes contour curves for rapid prototyping model generation via adaptive slicing, data points reducing and B-spline curve fitting. In this approach, first a cloud point data set is segmented along the component building direction to a number of layers. The points are projected to the mid-plane of the layer to form a 2-dimensional (2D) band of scattered points. These points are then utilized to construct a boundary curve. A number of points are picked up along the band and a B-spline curve is fitted. Then points are selected on the B-spline curve based on its discrete curvature. These are the points used as centers for generation of circles with a user-define radius to capture a piece of the scattered band. The geometric center of the points lying within these circles is treated as a control point for a B-spline curve fitting that represents a boundary contour curve. The advantage of this method is simplicity and insensitivity to common small inaccuracies. Two experimental results are included to demonstrate the effectiveness and applicability of the proposed method.     

两种带形状参数的曲线

本文构造了两种带参数的三角样条基,基于这两组基定义了两种三角样条曲线。与二次B样条曲线类似,这两种曲线的每一段都由相继的三个控制顶点生成。这两种曲线具有许多与二次B样条曲线类似的性质,但它们的连续性都比二次B样条曲线更好。对于等距节点,在一般情况下,这两种曲线都整体C3连续,在特殊条件下,它们都可达C5连续。两种曲线中的形状参数均有明确的几何意义,参数越大,曲线越靠近控制多边形。另外,当形状参数满足一定条件时,这两种曲线都具有比二次B样条曲线更好的对控制多边形的逼近性。运用张量积方法,将这两种曲线推广后所得到的曲面也具有较好的连续性。     

NURBS曲面G~1光滑拼接算法

非均匀有理Ｂ样条（ＮＵＲＢＳ）曲线、曲面造型方法，是当前ＣＡＤ／ＣＡＭ领域研究热点之一，大量的基于ＮＵＲＢＳ的实用造型系统得到发展。对ＮＵＲＢＳ而言，虽然具有参数连续性，但为了实用需要，仍需构造具有一定光滑程度的合成曲面，满足局部设计和修改的目的。本文给出了实用的具有二次公共边界曲线的ＮＵＲＢＳ曲面片Ｇ１光滑拼接条件，得到了相应控制顶点、权系数的具体算法；对于一个已知ＮＵＲＢＳ曲面，构造另一个ＮＵＲＢＳ曲面，使其达到Ｇ１拼接是简单易行的。     

B样条曲面间G1连续条件及局部格式构造问题

研究了内部单节点张量积B样条曲面间G1连续的条件.通过选择特殊类型的拼接函数,打破了公共边界必须是整体多项式曲线的限制,给出了以内部单节点双四次B样条曲面为工具、使用局部格式构造G1连续曲面的算法.最后给出了计算实例.     

Reparameterization of piecewise rational Bezier curves and its applications

degree . Although the curve segments are C ¹ continuous in three dimensions, they may be C ⁰ continuous in four dimensions. In this case, the multiplicity of each interior knot cannot be reduced and the B-spline basis function becomes C ⁰ continuous. Using a surface generation method, such as skinning these kinds of rational B-spline curves to construct an interpolatory surface, may generate surfaces with C ⁰ continuity. This paper presents a reparameterization method for reducing the multiplicity of each interior knot to make the curve segments C ¹ continuous in four dimensions. The reparameterized rational B-spline curve has the same shape and degree as before and also has a standard form. Some applications in skinned surface and ruled surface generation based on the reparameterized curves are shown. Published online: 19 July 2001     

三次B样条插值的网格拼接和融合

目的 网格模型的拼接和融合是3维模型编辑的一个重要方面。为了提高3维模型之间拼接曲面的精度和效率,提出一种基于三次均匀B样条曲线曲面的网格融合方法。方法 首先,利用协变分析和数据驱动方法在目标模型上选定融合区域、确定要融合模型的大小及方向;其次,根据选定的3维网格模型,确定待拼接区域的边界,识别并记录边界点集,利用三次B样条插值边界点集;然后,对边界曲线进行双三次B样条曲面插值得到拼接区域连续曲面,并以此作为两模型拼接时的过渡面;最后,对拼接区域重采样,并对其三角化,以实现网格模型的无缝光滑拼接和融合。结果 为了验证本文方法对3维模型拼接的有效性,选取4组不同的模型,分别对其使用本文提出的融合拼接方法进行实验,对前两组模型的拼接效果进行了对比试验,实验结果表明,本文方法可以达到很好的拼接效果,对于融合区域以外的部分能够保持源模型的细节特征,拼接部分的过渡区域光顺平滑,拼接后的模型完整性佳。在运行时间相差0.05 s内,与数据驱动的建模方法相比,本文方法可以处理的节点数至少多2 000个,面片数至少多5 000个。结论 本文方法能够适用于具有任何边界的模型,在选取模型时,对于模型的形状、大小、拓扑结构等的要求较低,适用于新模型的快速建造,因此,该算法可应用于医学、商业广告、动画娱乐以及几何建模和制造等较为广阔的应用领域。     

Reconstruction of B-spline curves and surfaces by adaptive group testing

Point clouds as measurements of 3D sensors have many applications in various fields such as object modeling, environment mapping and surface representation. Storage and processing of raw point clouds is time consuming and computationally expensive. In addition, their high dimensionality shall be considered, which results in the well known curse of dimensionality. Conventional methods either apply reduction or approximation to the captured point clouds in order to make the data processing tractable. B-spline curves and surfaces can effectively represent 2D data points and 3D point clouds for most applications. Since processing all available data for B-spline curve or surface fitting is not efficient, based on the Group Testing theory an algorithm is developed that finds salient points sequentially. The B-spline curve or surface models are updated by adding a new salient point to the fitting process iteratively until the Akaike Information Criterion (AIC) is met. Also, it has been proved that the proposed method finds a unique solution so as what is defined in the group testing theory. From the experimental results the applicability and performance improvement of the proposed method in relation to some state-of-the-art B-spline curve and surface fitting methods, may be concluded.     

一种类四次三角样条曲线

针对B样条曲线相对于其控制多边形形状固定,以及不能描述除抛物线以外的圆锥曲线的不足进行改进。将形状参数与三角函数进行有机结合,构造了一组含参数的三角基,由这组基定义了带形状参数的三角样条曲线,其每一段由相继的5个控制顶点生成。新曲线在继承B样条曲线主要优点的同时,既具有形状可调性,又能精确表示椭圆,对于等距节点,在一般情况下曲线C³连续,当形状参数取特殊值时曲线可达C⁵连续。采用张量积方法,将曲线推广后所得到的曲面具有与曲线类似的性质,给出了用曲面表示椭球面的方法。     

GC 1 multisided Bézier surfaces

This paper presents a new method for generating a tangent-plane continuous (GC¹) multisided surface with an arbitrary number of sides. The method generates piecewise biquintic tensor product Bézier patches which join each other with G¹-continuity and which interpolate the given vector-valued first order cross-derivative functions along the boundary curves. The problem of the twist-compatibility of the surface patches at the center points is solved through the construction of normal-curvature continuous starlines and by the way the twists of surface patches are generated. This avoids the inter-relationship among the starlines and the twists of surface patches at the center points. The generation of the center points and the starlines has many degrees of freedom which can be used to modify and improve the quality of the resulting surface patches. The method can be used in various geometric modeling applications such as filling n-sided holes, smoothing vertices of polyhedral solids, blending multiple surfaces, and modeling surface over irregular polyhedral line and curve meshes.     

Curve interpolation in recursively generated B-spline surfaces over arbitrary topology

Recursive subdivision is receiving a great deal of attention in the definition of B-spline surfaces over arbitrary topology. The technique has recently been extended to generate interpolating surfaces with given normal vectors at the interpolated vertices. This paper describes an algorithm to generate recursive subdivision surfaces that interpolate B-spline curves. The control polygon of each curve is defined by a path of vertices of the polyhedral network describing the surface. The method consists of applying a one-step subdivision of the initial network and modifying the topology in the neighborhood of the vertices generated from the control polygons. Subsequent subdivisions of the modified network generate sequences of polygons each of which converges to a curve interpolated by the limit surface. In the case of regular networks, the method can be reduced to a knot insertion process.     

基于多分辨率模型的三角曲面特征线辨识技术

由于特征线在反求工程 CAD建模中具有非常重要的作用 ,因此利用图形图象处理中的多分辨率模型概念 ,通过研究三角曲面模型的特征线 ,提出了一种三角曲面特征线的计算方法 .将计算得到的初始特征线通过编辑、修改等手段进行处理 ,得到清晰的特征线 ,并将其作为进一步划分重构 B样条曲面边界的依据和参考 ,从而为实现基于三角曲面模型的 B样条曲面重构奠定了基础 .实验结果证明 ,该算法能够在三角曲面上提取出令人满意的特征线 ,并据此重构出拓扑划分合理的 B样条曲面 .     

Nonuniform B-spline Mesh Fairing Method

A method for fairing a surface composed of a set of discrete data points distributed in anonrectangular topological mesh is presented.All curves are expressed by nonuniform cubic B-splinecurves.The fairing method is minimizing the elastic strain energy of mesh curves and of springs at-tached to the data points.The fairing surface can be generated by interpolating through the meshcurves.The generation and fairing of a ship hull surface is given as an example.     

Shaping and fairing of tubular B-spline surfaces

A technique for shaping tubular surfaces is described, which solves the problems of boundary control and first order continuous surface fitting. The presented method determines control points of the tensor product B-spline function describing the surface corresponding given boundary conditions and a fairness criterion.     

三种形状可调三角样条曲线

构造了3种带参数的三角样条基,基于这3组基定义了3种三角样条曲线。与二次B样条曲线类似,这3种曲线的每一段都由相继的3个控制顶点生成,且这3种曲线具有许多与二次B样条曲线类似的性质。但这3种曲线的连续性都比二次B样条曲线要好。对于等距节点,在一般情况下,这3种曲线都是整体C²连续的,在特殊条件下它们都可以达到C³连续。另外,这3种曲线都具有比二次B样条曲线更好的对控制多边形的逼近性。     

基于二次B样条曲线拟合的新算法

针对由四点拟合成一条三次B样条曲线过程中计算量大的缺点,提出了一种简单的二次B样条曲线拟合算法。即用两条二次B样条曲线近似一条三次B样条曲线,以期达到计算量小,光滑度也达到要求,提高B样条曲线的绘制速度。     

用C-C细分法和流形方法构造G2连续的自由型曲面

通过改进Cotrina等利用流形方法构造n边曲面片的算法,以C-C细分网格奇异点的5一环作为控制网构造出了带有均匀三次B样条边界的n边曲面片,使得该曲面片和C-C细分曲面G^2拼接．在此基础上,讨论了C-C细分曲面中n边域的构造和填充,从而为基于任意拓扑网格构造低次G^2连续曲面的问题给出了一个有效的解决方案,实现了用流形方法构造的曲面和C-C细分曲面的融合．最后,给出了几个具体算例．     

Least square geometric iterative fitting method for generalized B-spline curves with two different kinds of weights

Generalized B-spline bases are generated by monotone increasing and continuous “core” functions; thus generalized B-spline curves and surfaces not only hold almost the same perfect properties which classical B-splines hold but also show more flexibility in practical applications. Geometric iterative method (also known as progressive iterative approximation method) has good adaptability and stability and is popular due to its straight geometric meaning. However, in classical geometric iterative method, the number of control points is the same as that of data points. It is not suitable when large numbers of data points need to be fitted. In order to combine the advantages of generalized B-splines with those of geometric iterative method, a fresh least square geometric iterative fitting method for generalized B-splines is given, and two different kinds of weights are also introduced. The fitting method develops a series of fitting curves by adjusting control points iteratively, and the limit curve is weighted least square fitting result to the given large data points. Detailed discussion about choosing of core functions and two kinds of weights are also given. Plentiful numerical examples are also presented to show the effectiveness of the method.     

基于四点分段的一类三角多项式曲线

提出了一类m(m=1,2,3)次分段三角多项式曲线，通过引入形状参数，给出了加权三角多项式曲线，与三次B样条曲线类似。每段三角多项式曲线由4个相继的控制点生成，对于等距节点的情形，所提出的三角多项式曲线是C^2m-1连续；给出了三角开曲线和闭曲线的构造方法。论述了椭圆的表示方法，给出了三角多项式曲线与三次B样条曲线的对比，通过改变次数m或调整形状参数，可以得到不同程度地接近于控制多边形的曲线，因此，所给曲线的生成方法是一种结构简单和使用方便的曲线生成方法。