Computes oriented boundary loop for each boundary component of a triangle
mesh.
This function only works on manifold triangle meshes.
TODO: assert manifoldness when running this function
Parameters:
| Name |
Type |
Description |
Default |
F |
(m,3) numpy int array
|
face index list of a triangle mesh |
required
|
allow_wrong_orientations |
|
whether to allow F to contain wrongly oriented triangles |
True
|
Returns:
| Name | Type |
Description |
loops |
list of numpy arrays that are themselves lists of boundary vertices
|
in oriented loops |
Examples:
TODO
Source code in src/gpytoolbox/boundary_loops.py
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73 | def boundary_loops(f, allow_wrong_orientations=True):
"""Computes oriented boundary loop for each boundary component of a triangle
mesh.
This function only works on manifold triangle meshes.
TODO: assert manifoldness when running this function
Parameters
----------
F : (m,3) numpy int array
face index list of a triangle mesh
allow_wrong_orientations: bool, optional (default True).
whether to allow F to contain wrongly oriented triangles
Returns
-------
loops : list of numpy arrays that are themselves lists of boundary vertices
in oriented loops
Examples
--------
TODO
"""
assert f.shape[0] > 0
assert f.shape[1] == 3
bE = boundary_edges(f)
#Loop through each boundary, edge, marking them as seen, until all have
# been seen.
unseen = np.full(bE.shape[0], True)
loops = []
while np.any(unseen):
current_b = np.argmax(unseen)
current_bE = bE[current_b,:]
start = current_bE[0]
unseen[current_b] = False
loop_vertices = []
loop_vertices.append(start)
head = current_bE[1]
while head != start:
loop_vertices.append(head)
if allow_wrong_orientations:
current_b_0 = np.where((bE[:,0] == head) & unseen)[0]
current_b_1 = np.where((bE[:,1] == head) & unseen)[0]
if len(current_b_0)>len(current_b_1):
current_b = current_b_0
head_ind = 1
else:
current_b = current_b_1
head_ind = 0
else:
current_b = np.where((bE[:,0] == head) & unseen)[0]
head_ind = 1
assert len(current_b) == 1
current_b = current_b.item(0)
current_bE = bE[current_b,:]
unseen[current_b] = False
head = current_bE[head_ind]
loops.append(np.array(loop_vertices))
assert sum([len(l) for l in loops]) == bE.shape[0]
return loops
|