Drop triangulation pairs with double associations.

This commit is contained in:
Daniel
2025-05-22 17:51:48 +02:00
parent 26bfa3a63f
commit 6ce9643ff5

View File

@ -4,6 +4,7 @@
#include <iomanip> #include <iomanip>
#include <map> #include <map>
#include <numeric> #include <numeric>
#include <set>
#include <unordered_map> #include <unordered_map>
#include "camera.hpp" #include "camera.hpp"
@ -803,8 +804,106 @@ std::vector<std::vector<std::array<float, 4>>> TriangulatorInternal::triangulate
groups = calc_grouping(all_pairs, all_scored_poses, min_match_score); groups = calc_grouping(all_pairs, all_scored_poses, min_match_score);
// Drop groups with too few matches // Drop groups with too few matches
size_t num_groups = groups.size(); size_t num_groups_1 = groups.size();
for (size_t i = num_groups; i > 0; --i) for (size_t i = num_groups_1; i > 0; --i)
{
if (std::get<2>(groups[i - 1]).size() < this->min_group_size)
{
groups.erase(groups.begin() + i - 1);
}
}
// Drop pairs with double associations, where the same 2D person appears in multiple pairs.
// If two not-same persons have relatively similar poses, the triangulation could create a
// false positive virtual person. This can lead to a single 2D skeleton being associated with
// multiple 3D skeletons. To avoid this, check if the same 2D person appears in multiple valid
// pairs. If so, drop the pairs in less populated groups or with the lower scores.
std::map<std::tuple<int, int, int>, std::vector<size_t>> pairs_map;
for (size_t i = 0; i < all_pairs.size(); ++i)
{
const auto &p = all_pairs[i];
const auto &mid1 = std::make_tuple(
std::get<0>(p.first), std::get<1>(p.first), std::get<0>(p.second));
const auto &mid2 = std::make_tuple(
std::get<0>(p.first), std::get<1>(p.first), std::get<1>(p.second));
pairs_map[mid1].push_back(i);
pairs_map[mid2].push_back(i);
}
std::vector<size_t> group_map;
group_map.resize(all_pairs.size());
for (size_t i = 0; i < groups.size(); ++i)
{
const auto &group = groups[i];
const auto &indices = std::get<2>(group);
for (const auto &idx : indices)
{
group_map[idx] = i;
}
}
std::set<size_t> drop_indices;
for (auto &pair : pairs_map)
{
auto &indices = pair.second;
if (indices.size() > 1)
{
std::vector<size_t> group_sizes;
std::vector<float> pair_scores;
for (auto &idx : indices)
{
group_sizes.push_back(std::get<2>(groups[group_map[idx]]).size());
pair_scores.push_back(all_scored_poses[idx].second);
}
// Sort indices by group size (prio-1) and pair score (prio-2)
std::vector<size_t> indices_sorted(indices.size());
std::iota(indices_sorted.begin(), indices_sorted.end(), 0);
std::sort(indices_sorted.begin(), indices_sorted.end(),
[&group_sizes, &pair_scores](size_t a, size_t b)
{
if (group_sizes[a] != group_sizes[b])
{
return group_sizes[a] > group_sizes[b];
}
return pair_scores[a] > pair_scores[b];
});
// Drop all but the first index
for (size_t j = 1; j < indices_sorted.size(); ++j)
{
size_t drop_idx = indices[indices_sorted[j]];
drop_indices.insert(drop_idx);
}
}
}
std::vector<size_t> drop_list(drop_indices.begin(), drop_indices.end());
std::sort(drop_list.begin(), drop_list.end(), std::greater<size_t>());
for (size_t i = 0; i < drop_list.size(); ++i)
{
all_scored_poses.erase(all_scored_poses.begin() + drop_list[i]);
all_pairs.erase(all_pairs.begin() + drop_list[i]);
// Remove pairs from groups and update indices of the remaining pairs
for (size_t j = 0; j < groups.size(); ++j)
{
auto &indices = std::get<2>(groups[j]);
auto it = std::find(indices.begin(), indices.end(), drop_list[i]);
if (it != indices.end())
{
indices.erase(it);
}
for (size_t k = 0; k < std::get<2>(groups[j]).size(); ++k)
{
if ((size_t)std::get<2>(groups[j])[k] > drop_list[i])
{
std::get<2>(groups[j])[k] -= 1;
}
}
}
}
// Drop groups with too few matches again
size_t num_groups_2 = groups.size();
for (size_t i = num_groups_2; i > 0; --i)
{ {
if (std::get<2>(groups[i - 1]).size() < this->min_group_size) if (std::get<2>(groups[i - 1]).size() < this->min_group_size)
{ {