BezierCurve[{pt1,pt2,…}]
图形基元,表示控制点为 pti 的贝塞尔曲线.
BezierCurve
BezierCurve[{pt1,pt2,…}]
图形基元,表示控制点为 pti 的贝塞尔曲线.
更多信息和选项
- BezierCurve 也被称为贝塞尔样条曲线或伯恩斯坦多项式曲线.
- BezierCurve 通常用于表示字体和矢量图形中的曲线路径.
- 控制点 pi 是诸如 {x,y} 或 {x,y,z} 这样的普通坐标.
- BezierCurve[{p1,p2,p3,p4}] 表示一条简单的三次贝塞尔曲线.
- 具有超过四个控制点的 BezierCurve 表示一条复合三次贝塞尔曲线.
- 通过使用多个贝塞尔线段,复合曲线可表示更多样化的形状.
- BezierCurve 既可用作几何区域,也可用作图形基元.
- 在图形中,点 pi 可以是 Scaled、Offset、ImageScaled 和 Dynamic 表达式.
- 图形渲染受诸如 Thickness、Dashing、JoinForm、CapForm 以及颜色等指令的影响.
- 可给出下列选项:
-
SplineDegree Automatic 多项式基的次数 SplineClosed False 是否使曲线闭合 - 选项 SplineDegree->d 指定底层多项式基的最大次数为 d.
- SplineDegree->d 时,有 d+1 个控制点的 BezierCurve 产生一个简单的 d 次 Bézier 曲线. 控制点较少时,产生一个较低次数的曲线. 控制点较多时,则产生一个复合 Bézier 曲线.
- 具有 n 个控制点的 d 次 BezierCurve 表示区域 {
},其中,
是第 k
个 d 次 Bernstein 基函数.
范例
打开所有单元 关闭所有单元基本范例 (3)
pts = {{0, 0}, {1, 1}, {2, -1}, {3, 0}};Graphics[{BezierCurve[pts], Dashed, Gray, Line[pts], Red, Point[pts]}]pts = {{0, 0, 0}, {1, 1, 1}, {2, -1, 1}, {3, 0, 2}}Graphics3D[{BezierCurve[pts], Dashed, Gray, Line[pts], Red, Point[pts]}]reg = BezierCurve[{{0, 0}, {1, 1}, {2, -1}}];ArcLength[reg]RegionBounds[reg]Graphics[{LinearGradientFilling[{StandardRed, StandardYellow}], EdgeForm[Thick], FilledCurve[BezierCurve[IconizedObject[«[image]»]]]}]范围 (26)
基本用法 (4)
Graphics[BezierCurve[{{0, 0}, {2, 1}}]]Graphics[BezierCurve[{{-3, 0}, {6, 5}, {-6, -5}, {3, 0}}]]Graphics[BezierCurve[{{-1, 3}, {-2, 0}, {2, 0}, {1, 3}}]]Graphics[BezierCurve[{{0, 1}, {-1, 0}, {1, 0}}, SplineClosed -> True]]Graphics[{FilledCurve[BezierCurve[IconizedObject[«[image]»]]]}]Graphics[BezierCurve[IconizedObject[«[image]»]]]BezierCurve[{{-3, 0}, {6, 5}, {-6, -5}, {3, 0}}]指定 (4)
Graphics[BezierCurve[{{-1, 0}, {0, 2}, {1, 0}}]]Graphics3D[BezierCurve[{{-1, 0, 0}, {0, 2, 1}, {1, 0, 0}}]]Graphics[BezierCurve[{{-3, 0}, {6, 5}, {-6, -5}, {3, 0}}]]Graphics3D[BezierCurve[{{-3, -1, 0}, {6, 5, 5}, {-6, -5, -5}, {3, 1, 0}}]]通常,一条简单的次数为 d 的贝塞尔样条曲线需要 (d+1) 个控制点:
pts = {{0, 0}, {(1/3), (Sqrt[3]/2)}, {(2/3), (Sqrt[3]/2)}, {1, 0}, {(4/3), (Sqrt[3]/2)}, {(5/3), (Sqrt[3]/2)}, {2, 0}};deg = Length[pts] - 1;BezierCurve[pts, SplineDegree -> deg]Graphics[%]BezierCurve[Take[pts, 4], SplineDegree -> deg]Graphics[%]BezierCurve[pts, SplineDegree -> 3]Graphics[%]Graphics[{BezierCurve[{{-2, 0}, {-1, 2}, {1, 2}, {2, 0}}]}]Graphics[{BezierCurve[{{-2, 0}, {-1, 2}, {1, 2}, {2, 0}}, SplineClosed -> True]}]图形 (12)
Table[Graphics[{c, BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}]}], {c, {RGBColor[0.93, 0.27, 0.27], RGBColor[0.14, 0.8, 0.14], RGBColor[0.4, 0.6, 1]}}]Table[Graphics[{Thickness[i], BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}]}], {i, {Tiny, Small, Medium, Large}}]Table[Graphics[{t, BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}]}], {t, {Thin, Thick}}]相对于 PlotRange 缩放的粗细:
Table[Graphics[{Thickness[i], BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}]}], {i, {.005, .05, .1}}]Table[Graphics[{AbsoluteThickness[i], BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}]}], {i, {1, 5, 10}}]Table[Graphics[{Dashing[i], BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}]}], {i, {Tiny, Small, Medium, Large}}]Table[Graphics[{d, BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}]}], {d, {Dotted, Dashed, DotDashed}}]Opacity 指定曲线的透明度:
Table[Graphics[{Opacity[o], BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}]}], {o, {0.1, 0.5, 0.9}}]在用作 FilledCurve 的边界时,可通过 EdgeForm 指定曲线的样式:
Graphics[{EdgeForm[{StandardBlue, Thick}], Opacity[0.1], FilledCurve[BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}]]}]BezierCurve 可用作二维图形中 Arrow 的曲线:
Graphics[{Arrowheads[Large], Arrow[BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}]]}]Graphics3D[{Arrowheads[Large], Arrow[BezierCurve[{{0, 0, 0}, {1, 2, 2}, {3, 2, 02}, {4, 0, 0}}]]}]在三维空间中,BezierCurve 可用作 Tube 的曲线:
Graphics3D[{Tube[BezierCurve[{{0, 0, 0}, {1, 2, 2}, {3, 2, 02}, {4, 0, 0}}], 0.1]}]Graphics3D[{Arrowheads[0.2], Arrow[Tube[BezierCurve[{{0, 0, 0}, {1, 2, 2}, {3, 2, 02}, {4, 0, 0}}], 0.1]]}]BezierCurve 可用在 GraphicsComplex 中:
Graphics[{GraphicsComplex[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}, BezierCurve[{1, 2, 3, 4}]]}]pts = {{0, 0}, {(1/4), 1}, {(3/4), 1}, {1, 0}};Table[Graphics[{BezierCurve[pts]}, Frame -> True, PlotRange -> {{0, pr}, {0, pr}}], {pr, {1, 2, 4}}]用 Scaled 来指定相对于 PlotRange 的控制点:
Table[Graphics[{BezierCurve[Map[Scaled, pts]]}, Frame -> True, PlotRange -> {{0, pr}, {0, pr}}], {pr, {4, 8, 16}}]用 ImageScaled 来指定相对于整个二维图像区域的控制点:
Table[Graphics[{BezierCurve[Map[ImageScaled, pts]]}, Frame -> True, PlotRange -> {{0, pr}, {0, pr}}], {pr, {4, 8, 16}}]用 Offset 设置二维控制点的绝对偏移量:
pts = {{0, 0}, {(1/4), 1}, {(3/4), 1}, {1, 0}};offsets = {{-80, 0}, {0, 0}, {80, 0}};Graphics[{Table[BezierCurve[Map[Offset[offset, #]&, pts]], {offset, offsets}]}, PlotRange -> {{-1.4, 2.4}, {-0.1, 1}}, ImageSize -> 250]控制点可以是 Dynamic:
DynamicModule[{z = 0, pts},
pts = {{Dynamic[{0, z}], {1, 2}, {3, 2}, {4, 0}}};
{Slider[Dynamic[z], {0, 4}], Graphics[{BezierCurve[pts]}]}]区域 (6)
reg = BezierCurve[{{Subscript[c, 1], Subscript[c, 2]}, {Subscript[c, 3], Subscript[c, 4]}, {Subscript[c, 5], Subscript[c, 6]}}];RegionEmbeddingDimension[reg]RegionDimension[reg]reg = BezierCurve[{{0, 0}, {1, 2}, {3, 2}, {4, 0}}];{RegionMember[reg, {0, 0}], RegionMember[reg, {0, 1}]}reg = BezierCurve[{{0, 0}, {1, 2}, {2, 0}}];{ArcLength[reg], RegionMeasure[reg]}c = RegionCentroid[reg]Show[Region[reg], Graphics[{LightDarkSwitched[Black, White], Point[c]}]]reg = BezierCurve[{{-1, -1}, {0, 1}, {1, -1}}];{RegionDistance[reg, {-1, -1}], RegionDistance[reg, {2, 2}]}Show[Region[reg], ContourPlot[Evaluate@RegionDistance[reg, {x, y}], {x, -4, 4}, {y, -4, 3}, Contours -> {1, 2, 3}, ...], Frame -> True]reg = BezierCurve[{{-1, -1}, {0, 1}, {1, -1}}];{SignedRegionDistance[reg, {-1, -1}], SignedRegionDistance[reg, {2, 2}]}reg = BezierCurve[{{-1, -1}, {0, 1}, {1, -1}}];BoundedRegionQ[reg]bb = CoordinateBoundingBox[reg]Show[Region[reg], Graphics[{Opacity[0.1], EdgeForm[Dashed], Cuboid@@bb}]]选项 (3)
SplineDegree (2)
默认情况下,一个具有 4 个或更多控制点的 BezierCurve 将使用 3 次曲线:
pts = Table[{i, (-1) ^ i}, {i, 10}];{BezierCurve[Take[pts, 4]], BezierCurve[Take[pts, 10]]}{BezierCurve[Take[pts, 2]], BezierCurve[Take[pts, 3]]}用 SplineDegree 指定应使用较低的次数:
BezierCurve[pts, SplineDegree -> 1]BezierCurve[pts, SplineDegree -> 9]对于有 n 个控制点的 BezierCurve,当指定次数 d 满足 d < n-1 时,将生成一条复合贝塞尔曲线:
pts = Table[{i, 2(-1) ^ i}, {i, 7}];Region[BezierCurve[pts, SplineDegree -> #]]& /@ {2, 3, 4}SplineClosed (1)
pts = {{0, -(1/2)}, {(Sqrt[3]/2), -(1/2)}, {(Sqrt[3]/2), (1/2)}, {0, (1/2)}, {-(Sqrt[3]/2), (1/2)}, {-(Sqrt[3]/2), -(1/2)}};Graphics[{BezierCurve[pts]}]用 SplineClosed 使曲线闭合:
Graphics[{BezierCurve[pts, SplineClosed -> True]}]Graphics[{BezierCurve[Append[pts, First[pts]]]}]应用 (6)
字体 (4)
Graphics[BezierCurve[#]]& /@ {IconizedObject[«[image]»], IconizedObject[«[image]»], IconizedObject[«[image]»]}glyph = FilledCurve[BezierCurve[IconizedObject[«[image]»]]];Graphics[{EdgeForm[#], FaceForm[], glyph}]& /@ {Thick, Dashed, StandardRed}Graphics[{#, glyph}]& /@ {StandardBlue, LinearGradientFilling[{StandardRed, StandardYellow}], HatchFilling[0, 1, 3]}Graphics[{#, glyph}, PlotRangePadding -> Scaled[0.05]]& /@ {DropShadowing[], Haloing[StandardYellow, 0, 5], Blurring[]}用 RegionDilation 来模拟不同的字体粗细:
glyph = FilledCurve[Map[List, BezierCurve /@ {IconizedObject[«[image]»], IconizedObject[«[image]»], IconizedObject[«[image]»]}]];Table[Graphics[RegionDilation[glyph, t]], {t, {0, 2}}]Table[Graphics[{Haloing[ThemeColor["Foreground"], t], glyph}, PlotRangePadding -> Scaled[.1]], {t, {0, 5}}]用 ShearingTransform 模拟不同的字体倾斜效果:
glyph = FilledCurve[Map[List, BezierCurve /@ {IconizedObject[«[image]»], IconizedObject[«[image]»], IconizedObject[«[image]»]}]];Table[Graphics[GeometricTransformation[glyph, ShearingTransform[θ , {1, 0}, {0, 1}]]], {θ, {0, 20Degree}}]向量图形 (2)
用 BezierCurve 来绘制由自由曲线路径组成的形状:
Graphics[{BezierCurve[IconizedObject[«[image]»]]}]用 FilledCurve 来设置形状内部的样式:
Graphics[{LinearGradientFilling[{Hue[0.333, 0.8250000000000001, 0.639], Hue[0.169, 1, 0.9530000000000001]}, Top], EdgeForm[Thick], FilledCurve[BezierCurve[IconizedObject[«[image]»]]]}]curves = BezierCurve /@ {IconizedObject[«[image]»], IconizedObject[«[image]»], IconizedObject[«[image]»], IconizedObject[«[image]»], IconizedObject[«[image]»]};Graphics[curves]Graphics[{FilledCurve[List /@ curves], RGBColor[0.9058724017188509, 0.13725482819401516, 0., 1.], FilledCurve[curves[[1]]]}]属性和关系 (14)
次数为 1 的 BezierCurve 等价于 Line:
pts = {{0, -1}, {2, 1}, {4, -1}, {6, 1}};Graphics /@ {BezierCurve[pts, SplineDegree -> 1], Line[pts]}BezierCurve 是 BSplineCurve 的特例:
pts = {{-3, 0}, {6, 5}, {-6, -5}, {3, 0}};Graphics /@ {BezierCurve[pts], BSplineCurve[pts]}用 RegionConvert 获取等价的 BSplineCurve:
RegionConvert[BezierCurve[pts], "Spline"]BezierSurface 是 BezierCurve 的高维形式,它接受一个控制点矩形数组:
pts = (| | | | |
| ---------- | ----------- | ----------- | ----------- |
| {0, 0, 7} | {0, 3, 10} | {0, 7, 10} | {0, 10, 7} |
| {3, 0, 10} | {3, 3, 14} | {3, 7, 14} | {3, 10, 10} |
| {7, 0, 10} | {7, 3, 14} | {7, 7, 14} | {7, 10, 10} |
| {10, 0, 7} | {10, 3, 10} | {10, 7, 10} | {10, 10, 7} |);Graphics3D[BezierSurface[pts]]下面的 BezierSurface 的边界由四条贝塞尔曲线构成:
bc = Map[BezierCurve, {pts[[1]], pts[[-1]], pts[[All, 1]], pts[[All, -1]]}];Graphics3D[{BezierSurface[pts], Thick, StandardRed, bc}]BezierSurface 上的所有等参曲线都是有效的贝塞尔曲线:
uc = Table[BezierCurve[Map[#[u]&, Map[BezierFunction, pts]]], {u, 0, 1, 1 / 5}];
vc = Table[BezierCurve[Map[#[v]&, Map[BezierFunction, Transpose[pts]]]], {v, 0, 1, 1 / 5}];Graphics3D[{BezierSurface[pts], Thick, RGBColor[0.14, 0.8, 0.14], uc, RGBColor[0.4, 0.6, 1], vc}]可用一条复合的 BezierCurve 很好地近似一个 Circle:
Region /@ {BezierCurve[IconizedObject[«[image]»]], Circle[]}RegionHausdorffDistance@@%BezierCurve 总是对第一个和最后一个控制点进行插值:
pts = {{0, -1}, {1, 2}, {2, -2}, {3, 1}};Graphics[{BezierCurve[pts], Red, Point[{First[pts], Last[pts]}]}]pts = {{0, -1}, {2, 1}, {4, -1}, {6, 1}, {4, 2}};hull = ConvexHullMesh[pts, MeshCellStyle -> {0 -> Red, 2 -> Opacity[1 / 4]}];Show[hull, Region[BezierCurve[pts, SplineDegree -> 4]]]在三维空间中,具有共面控制点的贝塞尔曲线与其控制点位于同一平面内:
pts = {{-3, -1, 0}, {6, 10, 0}, {-6, -10, 0}, {3, 1, 0}};pts//CoplanarPointsGraphics3D[{InfinitePlane[Take[pts, 3]], BezierCurve[pts]}, Lighting -> "Accent", ViewPoint -> #]& /@ {2{1, -1, 1}, Front, Top}BezierFunction 给出 BezierCurve 上对应于特定参数值的位置:
pts = {{-3, 0}, {6, 5}, {-6, -5}, {3, 0}};bfunc = BezierFunction[pts]positions = Table[bfunc[u], {u, 0, 1, 1 / 10}];Graphics[{BezierCurve[pts], StandardRed, PointSize[0.02], Point[positions]}]Bézier 曲线可以通过使用 Bernstein 多项式对其控制点进行加权求和来构建:
pts = {{0, -1}, {1, 1}, {2, -1}, {3, 1}};bezier[t_] := Sum[BernsteinBasis[3, i, t] * pts[[i + 1]], {i, 0, 3}]GraphicsRow[{ParametricPlot[bezier[t], {t, 0, 1}, Frame -> True, Axes -> False], Graphics[BezierCurve[pts], Frame -> True]}, ImageSize -> 400]用 BernsteinBasis 来可视化曲线上每个控制点的权重:
weights = Table[BernsteinBasis[3, i, t], {i, 0, 3}];Plot[weights, {t, 0, 1}, PlotLegends -> {"SubscriptBox[p, 1]", "SubscriptBox[p, 2]", "SubscriptBox[p, 3]", "SubscriptBox[p, 4]"}]pts = {{0, -1}, {2, 2}, {4, -2}, {6, 1}};A = AffineTransform[{{{1, 1}, {0, 2}}, {1, 2}}];{Graphics[GeometricTransformation[BezierCurve[pts], A], Frame -> True],
Graphics[BezierCurve[A[pts]], Frame -> True]}对两条贝塞尔曲线的控制点进行平均,等同于对曲线本身进行平均:
pts1 = {{0, -1}, {2, 1}, {4, 2}, {6, 2}};
pts2 = {{2, -1}, {3, 1}, {4, -1}, {6, 0}};Graphics[{Thick, RGBColor[0.4, 0.6, 1], BezierCurve[pts1], RGBColor[0.98, 0.56, 0.17], BezierCurve[pts2], RGBColor[0.93, 0.27, 0.27], BezierCurve[Mean[{pts1, pts2}]]}, Frame -> True]ParametricPlot[{BezierFunction[pts1][t], BezierFunction[pts2][t], Mean[{BezierFunction[pts1][t], BezierFunction[pts2][t]}]}, {t, 0, 1}, Frame -> True, Axes -> False, PlotStyle -> {RGBColor[0.4, 0.6, 1], RGBColor[0.98, 0.56, 0.17], RGBColor[0.93, 0.27, 0.27]}]在两个线段的连接处,一个复合 Bézier 曲线可能不是平滑的:
pts = {{0, 0}, {1, -1}, {3, -1}, {3, 0}, {4, 1}, {5, 1}, {6, 0}};Graphics[{BezierCurve[pts], Dashed, Gray, Line[pts], Red, Point[pts]}]pts[[5, 1]] = 3;Graphics[{BezierCurve[pts], Dashed, Gray, Line[pts], Red, Point[pts]}]pts = {{0, 0}, {2, 3}, {4, 0}};elevate[pts_] := With[...]epts = Table[Nest[elevate, pts, d], {d, 0, 3}];Graphics /@ Table[{BezierCurve[epts[[i]], SplineDegree -> i + 2], Dashed, Gray, Line[epts[[i]]], Red, Point[epts[[i]]]}, {i, Length[epts]}]SubdivisionRegion 根据控制网格而非控制点生成平滑曲面:
Region /@ {SubdivisionRegion[[image]], BezierCurve[IconizedObject[«[image]»]]}互动范例 (2)
Column[{Manipulate[DynamicModule[{},
$curve = BezierCurve[pts, SplineDegree -> d, SplineClosed -> c];
Graphics[{$curve, Dashed, Opacity[0.5], Line[pts]}, PlotRange -> 5, Frame -> True, ImageSize -> 250]], {{pts, {{-4, -4}, {-3, 4}, {3, -4}, {4, 4}}}, Locator, LocatorAutoCreate -> True}, {{d, 3, "degree"}, 2, 6, 1}, {{c, False, "closed"}, {False, True}}], Button["Copy Curve to Clipboard", CopyToClipboard[$curve]]}]interpolateCurves[pts1_, pts2_] :=
Manipulate[Graphics[{BezierCurve[pts1(1 - t) + pts2 t], Opacity[0.25], Dashed, BezierCurve[pts1], BezierCurve[pts2]}], {t, 0, 1}]interpolateCurves[{...}, {...}]interpolateCurves@@{{...}, {...}}相关指南
文本
Wolfram Research (2008),BezierCurve,Wolfram 语言函数,https://reference.wolfram.com/language/ref/BezierCurve.html.
CMS
Wolfram 语言. 2008. "BezierCurve." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/ref/BezierCurve.html.
APA
Wolfram 语言. (2008). BezierCurve. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/ref/BezierCurve.html 年
BibTeX
@misc{reference.wolfram_2026_beziercurve, author="Wolfram Research", title="{BezierCurve}", year="2008", howpublished="\url{https://reference.wolfram.com/language/ref/BezierCurve.html}", note=[Accessed: 16-August-2026]}
BibLaTeX
@online{reference.wolfram_2026_beziercurve, organization={Wolfram Research}, title={BezierCurve}, year={2008}, url={https://reference.wolfram.com/language/ref/BezierCurve.html}, note=[Accessed: 16-August-2026]}