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metro_hausdorff.cpp
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metro_hausdorff.cpp
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// This file is part of the implementation of
// Robust Structure Simplification for Hex Re-meshing
// Xifeng Gao, Daniele Panozzo, Wenping Wang, Zhigang Deng, Guoning Chen
// In ACM Transactions on Graphics (Proceedings of SIGGRAPH ASIA 2017)
//
// Copyright (C) 2017 Xifeng Gao<[email protected]>
//
// This Source Code Form is subject to the terms of the Mozilla Public License
// v. 2.0. If a copy of the MPL was not distributed with this file, You can
// obtain one at http://mozilla.org/MPL/2.0/.
#include "metro_hausdorff.h"
////////////////// Command line Flags and parameters
// -----------------------------------------------------------------------------------------------
// simple aux function that compute the name for the file containing the stored computations
std::string SaveFileName(const std::string &filename)
{
int pos = filename.find_last_of('.', filename.length());
std::string fileout = filename.substr(0, pos) + "_metro.ply";
return fileout;
}
int compute(Mesh &mesh0, Mesh & mesh1, double &hausdorff_ratio, double &hausdorff_ratio_threshold){
#define MSG_ERR_MESH_LOAD "error loading the input meshes.\n"
#define MSG_ERR_INVALID_OPTION "unable to parse option '%s'\n"
#define MSG_ERR_FILE_OPEN "unable to open the output file.'n"
#define MSG_ERR_UNKNOWN_FORMAT "unknown file format '%s'.\n"
// global constants
#define NO_SAMPLES_PER_FACE 10
#define N_SAMPLES_EDGE_TO_FACE_RATIO 0.1
#define BBOX_FACTOR 0.1
#define INFLATE_PERCENTAGE 0.02
#define MIN_SIZE 125 /* 125 = 5^3 */
#define N_HIST_BINS 256
#define PRINT_EVERY_N_ELEMENTS 1000
bool NumberOfSamples = false;
bool SamplesPerAreaUnit = false;
bool CleaningFlag = false;
CMesh S1, S2;
float ColorMin = 0, ColorMax = 0;
double dist1_max, dist2_max;
unsigned long n_samples_target, elapsed_time;
double n_samples_per_area_unit;
int flags;
// default parameters
flags = SamplingFlags::VERTEX_SAMPLING |
SamplingFlags::EDGE_SAMPLING |
SamplingFlags::FACE_SAMPLING |
SamplingFlags::SIMILAR_SAMPLING;
if (!(flags & SamplingFlags::USE_HASH_GRID) && !(flags & SamplingFlags::USE_AABB_TREE) && !(flags & SamplingFlags::USE_OCTREE))
flags |= SamplingFlags::USE_STATIC_GRID;
// load input meshes.
//OpenMesh("",S1);
//OpenMesh(argv[2],S2);
//string S1NewName = SaveFileName(argv[1]);
//string S2NewName = SaveFileName(argv[2]);
//tri::io::Importer<CMesh>::Open(m, filename);
S1.vert.resize(mesh0.V.cols());
for (int i = 0; i < mesh0.V.cols(); i++) {
CVertex v;
v.P()[0] = mesh0.V(0, i);
v.P()[1] = mesh0.V(1, i);
v.P()[2] = mesh0.V(2, i);
S1.vert[i] = v;
}
S1.face.resize(mesh0.Fs.size());
//Allocator<CMesh>::AddFaces(S1, mesh0.Fs.size());
for (int i = 0; i < mesh0.Fs.size(); i++) {
CFace f;
f.V(0) = &(S1.vert[mesh0.Fs[i].vs[0]]);
f.V(1) = &(S1.vert[mesh0.Fs[i].vs[1]]);
f.V(2) = &(S1.vert[mesh0.Fs[i].vs[2]]);
S1.face[i] = f;
}
S2.vert.resize(mesh1.V.cols());
for (int i = 0; i < mesh1.V.cols(); i++) {
CVertex v;
v.P()[0] = mesh1.V(0, i);
v.P()[1] = mesh1.V(1, i);
v.P()[2] = mesh1.V(2, i);
S2.vert[i] = v;
}
S2.face.resize(mesh1.Fs.size());
//Allocator<CMesh>::AddFaces(S1, mesh0.Fs.size());
for (int i = 0; i < mesh1.Fs.size(); i++) {
CFace f;
f.V(0) = &(S2.vert[mesh1.Fs[i].vs[0]]);
f.V(1) = &(S2.vert[mesh1.Fs[i].vs[1]]);
f.V(2) = &(S2.vert[mesh1.Fs[i].vs[2]]);
S2.face[i] = f;
}
S1.vn = S1.vert.size();
S1.fn = S1.face.size();
S2.vn = S2.vert.size();
S2.fn = S2.face.size();
if (!NumberOfSamples && !SamplesPerAreaUnit) {
NumberOfSamples = true;
n_samples_target = 10 * max(S1.fn, S2.fn);// take 10 samples per face
}
// compute face information
tri::UpdateComponentEP<CMesh>::Set(S1);
tri::UpdateComponentEP<CMesh>::Set(S2);
// set bounding boxes for S1 and S2
tri::UpdateBounding<CMesh>::Box(S1);
tri::UpdateBounding<CMesh>::Box(S2);
// set Bounding Box.
Box3<CMesh::ScalarType> bbox, tmp_bbox_M1 = S1.bbox, tmp_bbox_M2 = S2.bbox;
bbox.Add(S1.bbox);
bbox.Add(S2.bbox);
bbox.Offset(bbox.Diag()*0.02);
S1.bbox = bbox;
S2.bbox = bbox;
// initialize time info.
int t0 = clock();
Sampling<CMesh> ForwardSampling(S1, S2);
Sampling<CMesh> BackwardSampling(S2, S1);
// print mesh info.
//printf("Mesh info:\n");
//printf(" M1: '%s'\n\tvertices %7i\n\tfaces %7i\n\tarea %12.4f\n", argv[1], S1.vn, S1.fn, ForwardSampling.GetArea());
//printf("\tbbox (%7.4f %7.4f %7.4f)-(%7.4f %7.4f %7.4f)\n", tmp_bbox_M1.min[0], tmp_bbox_M1.min[1], tmp_bbox_M1.min[2], tmp_bbox_M1.max[0], tmp_bbox_M1.max[1], tmp_bbox_M1.max[2]);
//printf("\tbbox diagonal %f\n", (float)tmp_bbox_M1.Diag());
//printf(" M2: '%s'\n\tvertices %7i\n\tfaces %7i\n\tarea %12.4f\n", argv[2], S2.vn, S2.fn, BackwardSampling.GetArea());
//printf("\tbbox (%7.4f %7.4f %7.4f)-(%7.4f %7.4f %7.4f)\n", tmp_bbox_M2.min[0], tmp_bbox_M2.min[1], tmp_bbox_M2.min[2], tmp_bbox_M2.max[0], tmp_bbox_M2.max[1], tmp_bbox_M2.max[2]);
//printf("\tbbox diagonal %f\n", (float)tmp_bbox_M2.Diag());
// Forward distance.
//printf("\nForward distance (M1 -> M2):\n");
ForwardSampling.SetFlags(flags);
if (NumberOfSamples){
ForwardSampling.SetSamplesTarget(n_samples_target);
n_samples_per_area_unit = ForwardSampling.GetNSamplesPerAreaUnit();
}
else{
ForwardSampling.SetSamplesPerAreaUnit(n_samples_per_area_unit);
n_samples_target = ForwardSampling.GetNSamplesTarget();
}
//printf("target # samples : %lu\ntarget # samples/area : %f\n", n_samples_target, n_samples_per_area_unit);
ForwardSampling.Hausdorff();
dist1_max = ForwardSampling.GetDistMax();
//printf("\ndistances:\n max : %f (%f wrt bounding box diagonal)\n", (float)dist1_max, (float)dist1_max / bbox.Diag());
//printf(" mean : %f\n", ForwardSampling.GetDistMean());
//printf(" RMS : %f\n", ForwardSampling.GetDistRMS());
//printf("# vertex samples %9lu\n", ForwardSampling.GetNVertexSamples());
//printf("# edge samples %9lu\n", ForwardSampling.GetNEdgeSamples());
//printf("# area samples %9lu\n", ForwardSampling.GetNAreaSamples());
//printf("# total samples %9lu\n", ForwardSampling.GetNSamples());
//printf("# samples per area unit: %f\n\n", ForwardSampling.GetNSamplesPerAreaUnit());
// Backward distance.
//printf("\nBackward distance (M2 -> M1):\n");
BackwardSampling.SetFlags(flags);
if (NumberOfSamples){
BackwardSampling.SetSamplesTarget(n_samples_target);
n_samples_per_area_unit = BackwardSampling.GetNSamplesPerAreaUnit();
}
else{
BackwardSampling.SetSamplesPerAreaUnit(n_samples_per_area_unit);
n_samples_target = BackwardSampling.GetNSamplesTarget();
}
//printf("target # samples : %lu\ntarget # samples/area : %f\n", n_samples_target, n_samples_per_area_unit);
BackwardSampling.Hausdorff();
dist2_max = BackwardSampling.GetDistMax();
//printf("\ndistances:\n max : %f (%f wrt bounding box diagonal)\n", (float)dist2_max, (float)dist2_max / bbox.Diag());
//printf(" mean : %f\n", BackwardSampling.GetDistMean());
//printf(" RMS : %f\n", BackwardSampling.GetDistRMS());
//printf("# vertex samples %9lu\n", BackwardSampling.GetNVertexSamples());
//printf("# edge samples %9lu\n", BackwardSampling.GetNEdgeSamples());
//printf("# area samples %9lu\n", BackwardSampling.GetNAreaSamples());
//printf("# total samples %9lu\n", BackwardSampling.GetNSamples());
//printf("# samples per area unit: %f\n\n", BackwardSampling.GetNSamplesPerAreaUnit());
// compute time info.
elapsed_time = clock() - t0;
int n_total_sample = ForwardSampling.GetNSamples() + BackwardSampling.GetNSamples();
double mesh_dist_max = max(dist1_max, dist2_max);
hausdorff_ratio = (float)mesh_dist_max / bbox.Diag();
if (hausdorff_ratio > hausdorff_ratio_threshold) return false;
return true;
}