Creating Unconventional k-d tree partitioning algorithm in Houdini
Usually, traditional K-dimensional algorithms will normally use neighboring points to define the search trees and set its constraints. Instead, he randomizes the position of every perpendicular hyperplane that will split the primitive into two pieces at every iteration, for as many times as preferred.
>> See Also: Working with Parallel Transport in Houdini
[post_ads]More Houdini tutorial [post_ads_2]
Comments
Post a Comment