The Birth Skeleton operator can be used to extract the curve skeleton from input meshes.
The Birth Skeleton operator extracts the curve skeleton from input meshes, and converts the segments of bones within the extracted skeleton into particles. Using this method, you can easily rig complex meshes like trees and foliage which would otherwise be extremely difficult and time-consuming to manually rig.
Within the context of this operator, a “segment” is a single line used to compose a bone. A “bone” is a curve composed of one or more “segments”. A “skeleton” is the set of all “bones” extracted from a mesh. Keep in mind that the skeleton extracted from a mesh is not a typical anatomical skeleton (ie, this operator is not meant to extract bones for the purpose of character rigging), but a curve skeleton (ie, the algorithm will attempt to convert tube-like sections of a mesh into segmented curves). For this reason, the operator is ideal for extracting bones from tube-like meshes (that’s why it works great for plants, foliage, tentacles, etc), but it doesn’t work very well for meshes that do not have many long, protruding parts.
Relax mesh: applies laplacian relaxation to the input mesh, in order to smooth out surface details prior to skeletonization.
Relax iterations: the number of relax iterations to apply to the input mesh. The higher the iterations, the smoother the mesh will be.
Input meshes with a lot of small, bumpy surface details can cause artifacts to appear in the resulting skeleton (junctions with unnecessary bones pointing in random directions, bones not properly following the overall surface curvature, etc). Performing pre-process relaxation (or manually relaxing the geometry of the mesh yourself) can help to improve the result of the skeletonization process. An ideal mesh for skeletonization is one that is perfectly smooth and composed only of long, tube-like structures.
Enable MatID filter: when enabled, only faces matching the listed material ID values will be skeletonized.
MatID: the list of face material IDs to skeletonize.
Using the material ID filter is an easy way to exclude parts of a mesh (like leaves, small twigs, etc) from skeletonization.
The max angle and max length settings control how individual bones will be optimized, by merging/reducing their segments.
Max angle: connected segments whose angle is below this threshold will be merged.
Max length: segments below the max angle threshold will only be merged if their combined length is below this value.
Optimize junctions: in skeletons with clear junctions (places where the endpoint of a bone touches the midpoint segment of another bone), segments will be merged at junction points.
Turning “optimize junctions” on may cause endpoints of bones which touch midpoints segments of other bones to lose contact with those midpoint segments, if those midpoint segments are optimized away. Keeping this setting off will maximize junction contact in skeletons extracted from meshes with clean, contiguous topology.
The skeletonization algorithm has a tendency to create junctions with multiple single-segment bones pointing outwards at seemingly-random angles, in meshes that aren’t composed of perfectly smooth tube-like structures. This setting uses a fairly robust heuristic to minimize the creation of those bones.
Stores the bone index of each segment into a channel within the corresponding particle.
Bone segments each have two endpoints (the start and end of each segment line), and bones are composed of multiple segments ordered from base to tip. Thus, the target of each segment is the segment before it (excluding the first segment in a bone, which has no target). Thus, the bone segment target of a corresponding particle will be the particle ID generated before it, as each bone is processed.
Each bone is given a random color, and the brightness of the color applied to each bone segment increases from base to tip. Thus, you can see the directionality of each bone in the viewport by looking at the direction of the color gradient for each bone when visualization is enabled. Bone directionality is not controllable, and is determined internally using an algorithm that examines bone radius, proximity, and direction to nearby bones.