Find vertices of a Voronoi diagram of convex polygons












0












$begingroup$


From a set of polygons guaranteed to be :




  • Convex

  • Full (no holes)

  • Non-intersecting (polygons may share edges/points, but not penetrate each other)


How do I find the vertices of the Voronoi diagram where each polygon is a seed?



Precisions :




  • Any answer for a Voronoi diagram of lines is also welcomed (I can merge the cells for lines belonging to the same polygon)

  • I can work with an approximation of the vertices (within reasonable precision). This is for a simulated pathfinding / navigation system, so exact precision is appreciated but not mandatory.

  • My math foundations are rusty, so please do mention anything obvious I should know / look into as an alternative.




I already have a working brute-force discretized approach :




  1. Draw each polygon in a unique color on an image

  2. For every blank pixel, find closest polygon and fill the pixel with its color

  3. List all pixels with adjacent to at least 2 different colors


While it works well enough (given a big enough image resolution) the performance is obviously horrible and it adds quite a few corner cases to handle. So I'd prefer to do without brute-forcing if possible.










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$endgroup$

















    0












    $begingroup$


    From a set of polygons guaranteed to be :




    • Convex

    • Full (no holes)

    • Non-intersecting (polygons may share edges/points, but not penetrate each other)


    How do I find the vertices of the Voronoi diagram where each polygon is a seed?



    Precisions :




    • Any answer for a Voronoi diagram of lines is also welcomed (I can merge the cells for lines belonging to the same polygon)

    • I can work with an approximation of the vertices (within reasonable precision). This is for a simulated pathfinding / navigation system, so exact precision is appreciated but not mandatory.

    • My math foundations are rusty, so please do mention anything obvious I should know / look into as an alternative.




    I already have a working brute-force discretized approach :




    1. Draw each polygon in a unique color on an image

    2. For every blank pixel, find closest polygon and fill the pixel with its color

    3. List all pixels with adjacent to at least 2 different colors


    While it works well enough (given a big enough image resolution) the performance is obviously horrible and it adds quite a few corner cases to handle. So I'd prefer to do without brute-forcing if possible.










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      From a set of polygons guaranteed to be :




      • Convex

      • Full (no holes)

      • Non-intersecting (polygons may share edges/points, but not penetrate each other)


      How do I find the vertices of the Voronoi diagram where each polygon is a seed?



      Precisions :




      • Any answer for a Voronoi diagram of lines is also welcomed (I can merge the cells for lines belonging to the same polygon)

      • I can work with an approximation of the vertices (within reasonable precision). This is for a simulated pathfinding / navigation system, so exact precision is appreciated but not mandatory.

      • My math foundations are rusty, so please do mention anything obvious I should know / look into as an alternative.




      I already have a working brute-force discretized approach :




      1. Draw each polygon in a unique color on an image

      2. For every blank pixel, find closest polygon and fill the pixel with its color

      3. List all pixels with adjacent to at least 2 different colors


      While it works well enough (given a big enough image resolution) the performance is obviously horrible and it adds quite a few corner cases to handle. So I'd prefer to do without brute-forcing if possible.










      share|cite|improve this question











      $endgroup$




      From a set of polygons guaranteed to be :




      • Convex

      • Full (no holes)

      • Non-intersecting (polygons may share edges/points, but not penetrate each other)


      How do I find the vertices of the Voronoi diagram where each polygon is a seed?



      Precisions :




      • Any answer for a Voronoi diagram of lines is also welcomed (I can merge the cells for lines belonging to the same polygon)

      • I can work with an approximation of the vertices (within reasonable precision). This is for a simulated pathfinding / navigation system, so exact precision is appreciated but not mandatory.

      • My math foundations are rusty, so please do mention anything obvious I should know / look into as an alternative.




      I already have a working brute-force discretized approach :




      1. Draw each polygon in a unique color on an image

      2. For every blank pixel, find closest polygon and fill the pixel with its color

      3. List all pixels with adjacent to at least 2 different colors


      While it works well enough (given a big enough image resolution) the performance is obviously horrible and it adds quite a few corner cases to handle. So I'd prefer to do without brute-forcing if possible.







      geometry convex-geometry voronoi-diagram






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      edited Jan 11 at 13:28









      Bernard

      120k740116




      120k740116










      asked Jan 11 at 12:45









      Milan IrigoyenMilan Irigoyen

      11




      11






















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