BentleyOttmann fails for complex shapes. #1
Comments
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Ouch! :) Thanks for reporting Campbell, will have a look at this later on. |
ghost
mentioned this issue
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I've managed to fix the bug in my own port, (single file: https://gitlab.com/ideasman42/isect_all_lines_compgeom/blob/master/poly_point_isect.py ) To ensure this isn't just working by some coincidence, this test rotates 360degrees at 5deg increments (tested to be correct at 0.5degrees increments too). However didn't manage to apply the changes from my own port back to your code so it would pass the test - so linking to mine in case it helps. note, the fix on my side was to change the order of insertion/removal when handling events, but this may be related to the btree implementation, see: https://pypi.python.org/pypi/bintrees I've made a branch, for reference (so these instructions don't become invalid): https://gitlab.com/ideasman42/isect_all_lines_compgeom/tree/issue_1_fix_test Clone the branch and run:
I've also tested randomizing all the points (using different seeds for shuffling), which causes 94565 intersections (in the committed test). While this works its quite prone to float precision error (Python uses |
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@ideasman42 thank you, I appreciate it! |
I was looking into this code and found that quite common tests fail.
Note that there is no degenerate cases in this example (zero length or overlapping co-linear segments...).
There are 249 intersections, I checked with CGAL and it detects them correctly.
To redo the error, replace,
src/test/compgeom/algorithms/TestBentleyOttmann.java,test_2string data with this:String data = "4.971058 0.067629 4.848638 0.235308 4.848638 0.235308 4.785283 0.309334 4.785283 0.309334 4.708177 0.366462 4.708177 0.366462 4.619439 0.416200 4.619439 0.416200 4.538092 0.454307 4.538092 0.454307 4.462012 0.471274 4.462012 0.471274 4.386959 0.445786 4.386959 0.445786 4.344691 0.413761 4.344691 0.413761 4.294727 0.365851 4.294727 0.365851 4.252459 0.330386 4.252459 0.330386 4.186189 0.292250 4.186189 0.292250 4.115631 0.256545 4.115631 0.256545 4.004892 0.209640 4.004892 0.209640 3.893297 0.173471 3.893297 0.173471 3.752550 0.149715 3.752550 0.149715 3.617342 0.130550 3.617342 0.130550 3.475720 0.122202 3.475720 0.122202 3.338338 0.132873 3.338338 0.132873 3.193568 0.155176 3.193568 0.155176 3.053040 0.196498 3.053040 0.196498 2.899854 0.270592 2.899854 0.270592 2.759393 0.401746 2.759393 0.401746 2.591496 0.588932 2.591496 0.588932 2.425788 0.875460 2.425788 0.875460 2.311872 1.170403 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