import numpy as np import matplotlib.pyplot as plt from scipy.special import binom from numpy.linalg import norm def num_bezier(n_ctrl, degree=3): if type(n_ctrl) == np.ndarray: n_ctrl = len(n_ctrl) return int((n_ctrl - 1) / degree) def bernstein(n, i): bi = binom(n, i) return lambda t, bi=bi, n=n, i=i: bi * t**i * (1 - t)**(n - i) def bezier(P, t, d=0): '''Bezier curve of degree len(P)-1. d is the derivative order (0 gives positions)''' n = P.shape[0] - 1 if d > 0: Q = np.diff(P, axis=0)*n return bezier(Q, t, d-1) B = np.vstack([bernstein(n, i)(t) for i, p in enumerate(P)]) return (P.T @ B).T def cubic_bezier(P, t): return (1.0-t)**3*P[0] + 3*(1.0-t)**2*t*P[1] + 3*(1.0-t)*t**2*P[2] + t**3*P[3] def bezier_piecewise(Cp, subd=100, degree=3, d=0): ''' sample a piecewise Bezier curve given a sequence of control points''' num = num_bezier(Cp.shape[0], degree) X = [] for i in range(num): P = Cp[i*degree:i*degree+degree+1, :] t = np.linspace(0, 1., subd)[:-1] Y = bezier(P, t, d) X += [Y] X.append(Cp[-1]) X = np.vstack(X) return X def compute_beziers(beziers, subd=100, degree=3): chain = beziers_to_chain(beziers) return bezier_piecewise(chain, subd, degree) def plot_control_polygon(Cp, degree=3, lw=0.5, linecolor=np.ones(3)*0.1): n_bezier = num_bezier(len(Cp), degree) for i in range(n_bezier): cp = Cp[i*degree:i*degree+degree+1, :] if degree==3: plt.plot(cp[0:2,0], cp[0:2, 1], ':', color=linecolor, linewidth=lw) plt.plot(cp[2:,0], cp[2:,1], ':', color=linecolor, linewidth=lw) plt.plot(cp[:,0], cp[:,1], 'o', color=[0, 0.5, 1.], markersize=4) else: plt.plot(cp[:,0], cp[:,1], ':', color=linecolor, linewidth=lw) plt.plot(cp[:,0], cp[:,1], 'o', color=[0, 0.5, 1.]) def chain_to_beziers(chain, degree=3): ''' Convert Bezier chain to list of curve segments (4 control points each)''' num = num_bezier(chain.shape[0], degree) beziers = [] for i in range(num): beziers.append(chain[i*degree:i*degree+degree+1,:]) return beziers def beziers_to_chain(beziers): ''' Convert list of Bezier curve segments to a piecewise bezier chain (shares vertices)''' n = len(beziers) chain = [] for i in range(n): chain.append(list(beziers[i][:-1])) chain.append([beziers[-1][-1]]) return np.array(sum(chain, [])) def split_cubic(bez, t): p1, p2, p3, p4 = bez p12 = (p2 - p1) * t + p1 p23 = (p3 - p2) * t + p2 p34 = (p4 - p3) * t + p3 p123 = (p23 - p12) * t + p12 p234 = (p34 - p23) * t + p23 p1234 = (p234 - p123) * t + p123 return np.array([p1, p12, p123, p1234]), np.array([p1234, p234, p34, p4]) def approx_arc_length(bez): c0, c1, c2, c3 = bez v0 = norm(c1-c0)*0.15 v1 = norm(-0.558983582205757*c0 + 0.325650248872424*c1 + 0.208983582205757*c2 + 0.024349751127576*c3) v2 = norm(c3-c0+c2-c1)*0.26666666666666666 v3 = norm(-0.024349751127576*c0 - 0.208983582205757*c1 - 0.325650248872424*c2 + 0.558983582205757*c3) v4 = norm(c3-c2)*.15 return v0 + v1 + v2 + v3 + v4 def subdivide_bezier(bez, thresh): stack = [bez] res = [] while stack: bez = stack.pop() l = approx_arc_length(bez) if l < thresh: res.append(bez) else: b1, b2 = split_cubic(bez, 0.5) stack += [b2, b1] return res def subdivide_bezier_chain(C, thresh): beziers = chain_to_beziers(C) res = [] for bez in beziers: res += subdivide_bezier(bez, thresh) return beziers_to_chain(res)