Screened Poisson Surface Reconstruction (Version 4.51)
links
executable
usage
changes
LINKS
ToG 2013 Paper SGP 2006 Paper
Executables (Win32, Win64)
Source Code
(Older Versions:
Version 4.5 Page
Version 4 Page
Version 3 Page
Version 2 Page
Version 1 Page)
License
EXECUTABLE ARGUMENTS
- --in <input points>
- This string is the name of the file from which the point set will be read.
If the file extension is .ply, the file should be in
PLY format, giving the list of oriented
vertices with the x-, y-, and z-coordinates of the positions encoded by the properties x, y, and
z and the x-, y-, and z-coordinates of the normals encoded by the properties nx, ny, and
nz .
If the file extension is .bnpts, the file should be a binary file, consisting of blocks of 6 32-bit
floats: x-, y-, and z-coordinates of the point's position, followed by the x-, y-, and z-coordinates
of the point's normal. (No information about the number of oriented point samples should be specified.)
Otherwise, the file should be an ascii file with groups of 6,
white space delimited, numbers: x-, y-, and z-coordinates of the point's position, followed
by the x-, y- and z-coordinates of the point's normal. (No information about the number of oriented point samples should be specified.)
- [--out <output triangle mesh>]
- This string is the name of the file to which the triangle mesh will be written.
The file is written in PLY format.
- [--depth <reconstruction depth>]
- This integer is the maximum depth of the tree that will be used for surface reconstruction.
Running at depth d corresponds to solving on a voxel grid whose resolution is no larger than
2^d x 2^d x 2^d. Note that since the reconstructor adapts the octree to the
sampling density, the specified reconstruction depth is only an upper bound.
The default value for this parameter is 8.
- [--minDepth <adaptive octree depth>]
- This integer specifies the depth beyond depth the octree will be adapted.
At coarser depths, the octree will be complete, containing all
2^d x 2^d x 2^d nodes.
The default value for this parameter is 5.
- [--pointWeight <interpolation weight>]
- This floating point value specifies the importants that interpolation of the point samples
is given in the formulation of the screened Poisson equation.
The results of the original (unscreened) Poisson Reconstruction can be obtained by setting this value to 0.
The default value for this parameter is 4.
- [--threads <number of processing threads>]
- This integer specifies the number of threads across which the reconstruction
algorithm should be parallelized.
The default value for this parameter is equal to the numer of (virtual) processors on the executing machine.
- [--scale <scale factor>]
- This floating point value specifies the ratio between the diameter of the cube used for reconstruction
and the diameter of the samples' bounding cube.
The default value is 1.1.
- [--solverDivide <solver subdivision depth>]
- This integer argument specifies the depth at which a block Gauss-Seidel solver is used to solve the
Laplacian equation. Using this parameter helps reduce the memory overhead at the cost of a small increase
in reconstruction time. (In practice, we have found that for reconstructions of depth 9 or higher a subdivide
depth of 7 or 8 can greatly reduce the memory usage.)
The default value is 8.
- [--isoDivide <iso-surface extraction subdivision depth>]
- This integer argument specifies the depth at which a block iso-surface extractor should be used to
extract the iso-surface. Using this parameter helps reduce the memory overhead at the cost of a small increase
in extraction time. (In practice, we have found that for reconstructions of depth 9 or higher a subdivide
depth of 7 or 8 can greatly reduce the memory usage.)
The default value is 8.
- [--samplesPerNode <minimum number of samples>]
- This floating point value specifies the minimum number of sample points that should fall within an
octree node as the octree construction is adapted to sampling density. For noise-free samples, small values
in the range [1.0 - 5.0] can be used. For more noisy samples, larger values in the range [15.0 - 20.0] may
be needed to provide a smoother, noise-reduced, reconstruction.
The default value is 1.0.
- [--confidence]
- Enabling this flag tells the reconstructor to use the size of the normals as confidence information. When the flag
is not enabled, all normals are normalized to have unit-length prior to reconstruction.
- [--polygonMesh]
- Enabling this flag tells the reconstructor to output a polygon mesh (rather than triangulating the results of Marching Cubes).
- [--verbose]
- Enabling this flag provides a more verbose description of the running times and memory usages of
individual components of the surface reconstructor.
USAGE
For testing purposes, two oriented point sets are provided:
- Bunny:
A set of 362,271 oriented point samples (represented in PLY format) was obtained by merging the data from the original Stanford Bunny
range scans. The orientation of the sample points was estimated
using the connectivity information within individual range scans.
The original Poisson Reconstruction algorithm can be invoked by calling:
% PoissonRecon --in bunny.points.ply --out bunny.unscreened.ply --depth 10 --pointWeight 0
using the --pointWeight 0 argument to disable the screening.
By default, screening is enabled so the call:
% PoissonRecon --in bunny.points.ply --out bunny.screened.ply --depth 10
produces a reconstruction that more faithfully fits the input point positions.
- Horse:
A set of 100,000 oriented point samples (represented in ASCII format) was obtained by sampling a virtual horse model with a sampling density proportional to curvature, giving a set of non-uniformly distributed points.
The surface of the model can be reconstructed by calling the surface reconstructor as follows:
% PoissonRecon --in horse.npts --out horse.ply --depth 10
To convert the binary PLY format to
Hugues Hoppe's ASCII
mesh format, a Perl script is provided.
As an examples, the reconstructed bunny can be converted into the ASCII mesh format as follows:
% ply2mesh.pl bunny.ply > bunny.m
CHANGES
Version 3:
- The implementation of the --samplesPerNode parameter has been modified so that a value of "1" more closely corresponds to a distribution with one sample per leaf node.
- The code has been modified to support compilation under MSVC 2010 and the associated solution and project files are now provided. (Due to a bug in the Visual Studios compiler, this required modifying the implementation of some of the bit-shifting operators.)
Version 4:
- The code supports screened reconstruction, with interpolation weight specified through the --pointWeight parameter.
- The code has been implemented to support parallel processing, with the number of threads used for parallelization specified by the --threads parameter.
- The input point set can now also be in PLY format, and the file-type is determined by the extension, so that the --binary flag is now obsolete.
- At depths coarser than the one specified by the value --minDepth the octree is no longer adaptive but rather complete, simplifying the prolongation operator.
Version 4.5:
- The algorithmic complexity of the solver was reduced from log-linear to linear.
Version 4.51:
- Smart pointers were added to ensure that memory accesses were in bounds.
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