July 2004
BACK
Surface mesh reconstruction
from unorganized point clouds
Problem:
-
Given a set of points S = {x_i} on a surface M (piecewise
2D manifold*), find a surface M* that closely
approximates M.
* The manifold requirement (i.e., having a local
coordinate system (chart) for each surface patch which is assumed
locally flat (with a tangent space at each point)) might be too
restrictive.
Common Assumptions:
-
"Sufficiently well sampled" sets: refers to the density
properties of the point cloud.
-
Additional geometric information is available, e.g.: a
normal field
Harder problems:
-
Make no particular assumptions on the density, without access to
additional geometric information.
-
The point set S is noisy along the normal field: i.e., we
may have a dense volumetric sampling (a sausage) along the surface M,
rather than being precisely sampling a piecewise 2D manifold M.
NB: Our goal (work on 3D scaffolds) is to tackle point 1 above. The
vast majority of papers/published methods do not address either of
these harder problems.
Next: Principal methods
Last Updated: June 30, 2004