我正在为 Autodesk Maya 编写一些 Python，它应该返回给定 3D 多边形的 2D 凸包。更具体地说，我想通过丢弃高度坐标来展平 3D 多边形，并为所述多边形的“展平”2D 表示创建凸包。
例如，如果给定一个顶点列表，则预期结果应该只是最外层边缘循环中的顶点。基本环面(只是一个多边形示例)中总共有 400 个顶点，外边缘循环由其中 20 个顶点组成，但在计算凸包时我最终得到了 216 个顶点；这些顶点包括最里面的边缘循环中的顶点，这是不应该发生的。
该算法基于此处的代码: https://en.wikibooks.org/wiki/Algorithm_Implementation/Geometry/Convex_hull/Monotone_chain#Python
请注意，我使用的是 X 和 Z 坐标，而不是 X 和 Y。我认为只要 Z 与 Y 的使用方式相同，这就不应该成为问题，但如果我错了，请纠正我。您可能还想知道为什么我不只寻找高度为 0 的顶点；而是寻找高度为 0 的顶点。这确实适用于环面，但不适用于其他正在移动(动画)且没有“赤道”(也恰好是凸包)的多边形。
以下是环面多边形的一些屏幕截图。考虑到我们通过忽略 Y 来展平多边形，以黄色突出显示的顶点就是我所期望的凸包。
这是我计算的船体点的表示。
正如您所看到的，大多数顶点都被选中。
这是代码，但我重新编写了它，以便它只需要顶点坐标数组而不依赖于 Maya API。有些东西，比如 Vertex 类，在这里可能看起来毫无意义，但那是因为从原始版本中删除了与凸包计算无关的代码。使用 Python 2.7 进行测试。
class PolyFence(list):
def __init__(self, vertices):
self.compute_convex_hull(vertices)
def intersects(self, polygon):
for coordinate in self:
if coordinate.within(polygon):
return True
return False
def compute_convex_hull(self, vertices):
def cross(o, a, b):
return (a.x - o.x) * (b.z - o.z) - (a.z - o.z) * (b.x - o.x)
def build_hull(sorted_points):
hull = []
for p in sorted_points:
while len(hull) >= 2 and cross(hull[-2], hull[-1], p) <= 0:
hull.pop()
hull.append(p)
return hull
sorted_points = sorted(set(vertices))
# Build lower hull
lower = build_hull(sorted_points)
# Build upper hull
upper = build_hull(reversed(sorted_points))
c_hull_points = lower[:-1] + upper[:-1]
ordered_hull_points = sorted(c_hull_points, key=lambda k: (-k.x, -k.z))
ordered_hull_points[-2], ordered_hull_points[-1] = ordered_hull_points[-1], ordered_hull_points[-2]
self += ordered_hull_points
class Vertex:
def __init__(self, pair):
self.x = pair[0]
self.z = pair[1]
def __getitem__(self, idx):
if idx == 0:
return self.x
if idx == 1:
# this is so we don't sort by values we aren't using
return self.z
return None
torus_coords = [(0.4755285680294037, -0.1545085906982422), (0.4045087695121765, -0.2938928008079529), (0.2938928008079529, -0.4045087397098541), (0.154508575797081, -0.4755285084247589), (0.0, -0.5000002384185791), (-0.154508575797081, -0.4755284786224365), (-0.2938927412033081, -0.40450865030288696), (-0.4045086205005646, -0.2938927114009857), (-0.47552838921546936, -0.1545085310935974), (-0.5000001192092896, 0.0), (-0.47552838921546936, 0.1545085310935974), (-0.4045085906982422, 0.29389268159866333), (-0.29389268159866333, 0.4045085608959198), (-0.1545085310935974, 0.4755283296108246), (-1.4901161193847656e-08, 0.5000000596046448), (0.15450848639011383, 0.4755282998085022), (0.29389262199401855, 0.4045085310935974), (0.404508501291275, 0.29389265179634094), (0.4755282700061798, 0.15450850129127502), (0.5, 0.0), (0.4988026022911072, -0.16207078099250793), (0.42430683970451355, -0.3082769513130188), (0.3082769513130188, -0.42430680990219116), (0.16207076609134674, -0.4988025426864624), 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-0.2181992530822754), (0.5712531208992004, -0.41503965854644775), (0.41503965854644775, -0.5712530612945557), (0.2181992381811142, -0.6715481877326965), (0.0, -0.7061075568199158), (-0.2181992381811142, -0.6715481877326965), (-0.4150395691394806, -0.5712529420852661), (-0.5712528824806213, -0.4150395095348358), (-0.6715480089187622, -0.21819917857646942), (-0.7061073780059814, 0.0), (-0.6715480089187622, 0.21819917857646942), (-0.5712528824806213, 0.4150394797325134), (-0.4150394797325134, 0.5712528228759766), (-0.21819917857646942, 0.6715479493141174), (-2.104363439059398e-08, 0.7061072587966919), (0.21819910407066345, 0.6715478897094727), (0.41503939032554626, 0.5712527632713318), (0.571252703666687, 0.41503942012786865), (0.6715478897094727, 0.21819913387298584), (0.7061071991920471, 0.0), (0.5663461685180664, -0.18401701748371124), (0.4817628562450409, -0.3500211834907532), (0.3500211834907532, -0.4817628264427185), (0.18401700258255005, -0.5663461089134216), (0.0, -0.5954915285110474), (-0.18401700258255005, -0.5663460493087769), (-0.350021094083786, -0.48176270723342896), (-0.48176267743110657, -0.3500210642814636), (-0.5663459897041321, -0.18401695787906647), (-0.595491349697113, 0.0), (-0.5663459897041321, 0.18401695787906647), (-0.4817626476287842, 0.35002103447914124), (-0.35002103447914124, 0.4817625880241394), (-0.18401695787906647, 0.5663458704948425), (-1.774702163004349e-08, 0.5954912900924683), (0.1840168982744217, 0.5663458704948425), (0.3500209450721741, 0.481762558221817), (0.48176252841949463, 0.35002100467681885), (0.5663458108901978, 0.18401691317558289), (0.5954912304878235, 0.0), (0.4988022744655609, -0.16207067668437958), (0.42430657148361206, -0.3082767426967621), (0.3082767426967621, -0.4243065416812897), (0.16207066178321838, -0.49880221486091614), (0.0, -0.524471640586853), (-0.16207066178321838, -0.49880218505859375), (-0.3082766830921173, -0.4243064522743225), (-0.42430639266967773, -0.3082766532897949), (-0.4988020956516266, -0.1620706170797348), (-0.5244715213775635, 0.0), (-0.4988020956516266, 0.1620706170797348), (-0.42430636286735535, 0.30827662348747253), (-0.30827662348747253, 0.42430633306503296), (-0.1620706170797348, 0.4988020062446594), (-1.5630465810545502e-08, 0.5244714617729187), (0.16207057237625122, 0.49880197644233704), (0.30827656388282776, 0.42430630326271057), (0.4243062734603882, 0.30827659368515015), (0.49880194664001465, 0.16207058727741241), (0.5244714021682739, 0.0)]
torus = [Vertex(coord) for coord in torus_coords]
fence = PolyFence(torus)
expectation_coords = [(1.4265857934951782, -0.46352580189704895), (1.2135263681411743, -0.8816784620285034), (0.8816784620285034, -1.2135263681411743), (0.46352577209472656, -1.4265856742858887), (0.0, -1.5000008344650269), (-0.46352577209472656, -1.4265855550765991), (-0.8816782832145691, -1.2135260105133057), (-1.2135260105133057, -0.8816782236099243), (-1.42658531665802, -0.4635256230831146), (-1.5000004768371582, 0.0), (-1.42658531665802, 0.4635256230831146), (-1.2135258913040161, 0.8816781044006348), (-0.8816781044006348, 1.2135257720947266), (-0.4635256230831146, 1.426585078239441), (-4.470348713425665e-08, 1.5000003576278687), (0.4635255038738251, 1.4265849590301514), (0.8816779255867004, 1.213525652885437), (1.213525652885437, 0.88167804479599), (1.4265849590301514, 0.46352553367614746), (1.5000001192092896, 0.0)] #
expectation = [Vertex(coord) for coord in expectation_coords]
assert(sorted(fence) == sorted(expectation))
最佳答案
@Sneftel 是对的；我的代码实际上并没有按字典顺序对点进行排序，因为我的顶点不是列表或元组，它们是由 Python 按属性排序的。
这就是我更改对 sorted 的调用以获得正确结果的方法:
sorted_points = sorted(set(self.vertices()), key=lambda v: (v.x(), v.z()))
基本上，我将对象转换为元组，以便它可以根据某些内容进行排序。
结果如下。 :)
关于python - 为什么我的凸包算法返回错误的点？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/34214190/