// Copyright (c) 2022, ETH Zurich and UNC Chapel Hill. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // // * Redistributions in binary form must reproduce the above copyright // notice, this list of conditions and the following disclaimer in the // documentation and/or other materials provided with the distribution. // // * Neither the name of ETH Zurich and UNC Chapel Hill nor the names of // its contributors may be used to endorse or promote products derived // from this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE // POSSIBILITY OF SUCH DAMAGE. // // Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de) #ifndef COLMAP_SRC_MVS_MESHING_H_ #define COLMAP_SRC_MVS_MESHING_H_ #include namespace colmap { namespace mvs { struct PoissonMeshingOptions { // This floating point value specifies the importance 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. double point_weight = 1.0; // 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. int depth = 13; // If specified, the reconstruction code assumes that the input is equipped // with colors and will extrapolate the color values to the vertices of the // reconstructed mesh. The floating point value specifies the relative // importance of finer color estimates over lower ones. double color = 32.0; // This floating point values specifies the value for mesh trimming. The // subset of the mesh with signal value less than the trim value is discarded. double trim = 10.0; // The number of threads used for the Poisson reconstruction. int num_threads = -1; bool Check() const; }; struct DelaunayMeshingOptions { // Unify input points into one cell in the Delaunay triangulation that fall // within a reprojected radius of the given pixels. double max_proj_dist = 20.0; // Maximum relative depth difference between input point and a vertex of an // existing cell in the Delaunay triangulation, otherwise a new vertex is // created in the triangulation. double max_depth_dist = 0.05; // The standard deviation of wrt. the number of images seen by each point. // Increasing this value decreases the influence of points seen in few images. double visibility_sigma = 3.0; // The factor that is applied to the computed distance sigma, which is // automatically computed as the 25th percentile of edge lengths. A higher // value will increase the smoothness of the surface. double distance_sigma_factor = 1.0; // A higher quality regularization leads to a smoother surface. double quality_regularization = 1.0; // Filtering thresholds for outlier surface mesh faces. If the longest side of // a mesh face (longest out of 3) exceeds the side lengths of all faces at a // certain percentile by the given factor, then it is considered an outlier // mesh face and discarded. double max_side_length_factor = 25.0; double max_side_length_percentile = 95.0; // The number of threads to use for reconstruction. Default is all threads. int num_threads = -1; bool Check() const; }; // Perform Poisson surface reconstruction and return true if successful. bool PoissonMeshing(const PoissonMeshingOptions& options, const std::string& input_path, const std::string& output_path); #ifdef CGAL_ENABLED // Delaunay meshing of sparse and dense COLMAP reconstructions. This is an // implementation of the approach described in: // // P. Labatut, J‐P. Pons, and R. Keriven. "Robust and efficient surface // reconstruction from range data". Computer graphics forum, 2009. // // In case of sparse input, the path should point to a sparse COLMAP // reconstruction. In case of dense input, the path should point to a dense // COLMAP workspace folder, which has been fully processed by the stereo and // fusion pipeline. void SparseDelaunayMeshing(const DelaunayMeshingOptions& options, const std::string& input_path, const std::string& output_path); void DenseDelaunayMeshing(const DelaunayMeshingOptions& options, const std::string& input_path, const std::string& output_path); #endif // CGAL_ENABLED } // namespace mvs } // namespace colmap #endif // COLMAP_SRC_MVS_MESHING_H_