Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Triangulation algorithms in Boost Geometry #1049

Closed
phimuemue opened this issue Aug 4, 2022 · 6 comments
Closed

Triangulation algorithms in Boost Geometry #1049

phimuemue opened this issue Aug 4, 2022 · 6 comments

Comments

@phimuemue
Copy link

phimuemue commented Aug 4, 2022

I'm using Boost Geometry, version 1.79, and I'd like to triangulate polygons (concretely: a multi-polygon, using a polygon type that is typically based on int or double, oriented counter-clockwise and open (not closed)).

So far, for triangulation I resort to the Boost Polygon Library, which has get_trapezoids, but - according to the documentation - does not support floating point coordinate data types. (Which I confirmed: It runs into undefined behavior when used with certain double coordinates.)

Ideally I'd get rid of this additional dependency (all my other needs are catered by Boost Geometry) and triangulate double-polygons with Boost Geometry. Did I miss any relevant algorithms from the documentation? If not, are there plans to incorporate triangulation into Boost Geometry?

@barendgehrels
Copy link
Collaborator

There are no current plans. But the MapBox EarCut C++ library works very well, also in combination with Boost.Geometry
https://github.com/mapbox/earcut.hpp

@vissarion
Copy link
Member

@phimuemue there is a prototype by @tinko92 implemented as part of a GSoC project in 2019. Here is the PR #684 which looks stale but the code AFAIR can be used (at least I have used it successfully in the past).

@tinko92 are you willing to finish that PR? Do you remember if that was ready for reviewing?

@tinko92
Copy link
Collaborator

tinko92 commented Sep 1, 2022

@vissarion Yes, I am willing. I do remember that I thought it was ready for review back when I posted it as a PR, but with 2 more years of experience with BG and a better understanding of the library, I have a more critical view of the PR. I think it would not be so trivial to review and merge it because it introduces a new triangulation data structure which doesn't really have an analogue in the existing library; it is not really a geometry concept like the others IMHO, so it would probably be necessary to discuss how that should be designed to fit into the BG philosophy and I would probably rewrite large parts of it. It also has robustness issues that I didn't realize back then when I wrote it.

I would also prioritize other things that I'd think would be useful for BG. I'm still looking into robustness issues within overlay. Wrt GSoC PRs, I think reviewing #618 would make sense before #684. I think #618 is in a better state and more straightforward to integrate into BG.

@awulkiew
Copy link
Member

awulkiew commented Sep 4, 2022

@vissarion AFAIU @tinko92 implemented Delaunay triangulation which is a different kind than the one that is requested here. It can't be used to triangulate a polygon, or am I missing something?

@tinko92
Copy link
Collaborator

tinko92 commented Sep 4, 2022

The implemented Delaunay Triangulation algorithm takes a range of points without any assumption/constraint of whether they form, e.g. a valid polygon and the triangulation will cover the convex hull of that point set with finite triangles. A constrained Delaunay Triangulation, which was not implemented, could respect an input polygon.

Edit: Sorry for not mentioning this earlier, I forgot about that requirement in the opening post.

@vissarion
Copy link
Member

Sorry for the confusion! My intention was to connect the similar issue of Delaunay triangulation implemented by @tinko92 not to state that that implementation resolves the current issue. What is requested here is a constrained triangulation CT (not necessary a Delaunay one). Indeed the implementation of #684 cannot be used to triangulate a polygon (unless if that polygon is convex). But I think the triangulation data structure introduced in #684 could be used in the future by a CT algorithm. Also there should be a possibility of implementing a post processing procedure that converts a Delaunay triangulation of the polygon vertex set to a constrained Delaunay triangulation i.e. a triangulation of the input polygon.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

5 participants