approximate on geometry with disconnected component

random shuffle on non seed facets
This commit is contained in:
Lingjie Zhu 2017-12-06 18:38:32 +08:00
parent 888ebfd4ea
commit f81c885a69
1 changed files with 51 additions and 48 deletions

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@ -363,7 +363,7 @@ public:
* Parameters out of range are ignored. * Parameters out of range are ignored.
* @param method seeding method * @param method seeding method
* @param max_nb_proxies maximum target number of proxies, * @param max_nb_proxies maximum target number of proxies,
* should be in range (0, num_faces(tm) / 3) * should be in range (nb_connected_components, num_faces(tm) / 3)
* @param min_error_drop minimum error drop, * @param min_error_drop minimum error drop,
* should be in range (0.0, 1.0) * should be in range (0.0, 1.0)
* @param nb_relaxations number of interleaved refitting relaxations * @param nb_relaxations number of interleaved refitting relaxations
@ -377,6 +377,9 @@ public:
// maximum number of proxies internally, maybe better choice? // maximum number of proxies internally, maybe better choice?
const std::size_t nb_px = num_faces(*m_ptm) / 3; const std::size_t nb_px = num_faces(*m_ptm) / 3;
// initialize proxies and the proxy map to prepare for insertion
bootstrap_from_connected_components();
if (min_error_drop && *min_error_drop > FT(0.0) && *min_error_drop < FT(1.0)) { if (min_error_drop && *min_error_drop > FT(0.0) && *min_error_drop < FT(1.0)) {
// as long as minimum error is specified and valid // as long as minimum error is specified and valid
// maximum number of proxies always exist, no matter specified or not or out of range // maximum number of proxies always exist, no matter specified or not or out of range
@ -1006,20 +1009,20 @@ private:
* @brief Random initialize proxies to target number of proxies. * @brief Random initialize proxies to target number of proxies.
* @note To ensure the randomness, call `std::srand()` beforehand. * @note To ensure the randomness, call `std::srand()` beforehand.
* @param max_nb_proxies maximum number of proxies, * @param max_nb_proxies maximum number of proxies,
* should be in range (0, num_faces(*m_ptm)) * should be in range (nb_connected_components, num_faces(*m_ptm))
* @param num_iterations number of re-fitting iterations * @param num_iterations number of re-fitting iterations
* @return number of proxies initialized * @return number of proxies initialized
*/ */
std::size_t init_random(const std::size_t max_nb_proxies, std::size_t init_random(const std::size_t max_nb_proxies,
const std::size_t num_iterations) { const std::size_t num_iterations) {
// fill a temporary vector of facets // random shuffled facets except for the bootstrapped connected component seed facets
std::vector<face_descriptor> facets; std::vector<face_descriptor> shuffled_facets;
random_shuffle_facets(facets); random_shuffle_non_seed_facets(shuffled_facets);
m_proxies.clear();
// reach to the number of proxies // reach to the number of proxies
for (std::size_t i = 0; i < max_nb_proxies; ++i) for (std::size_t i = 0; i < shuffled_facets.size()
m_proxies.push_back(fit_new_proxy(facets[i], m_proxies.size())); && m_proxies.size() < max_nb_proxies; ++i)
m_proxies.push_back(fit_new_proxy(shuffled_facets[i], m_proxies.size()));
run(num_iterations); run(num_iterations);
return m_proxies.size(); return m_proxies.size();
@ -1028,17 +1031,15 @@ private:
/*! /*!
* @brief Incremental initialize proxies to target number of proxies. * @brief Incremental initialize proxies to target number of proxies.
* @param max_nb_proxies maximum number of proxies, * @param max_nb_proxies maximum number of proxies,
* should be in range (0, num_faces(*m_ptm)) * should be in range (nb_connected_components, num_faces(*m_ptm))
* @param num_iterations number of re-fitting iterations * @param num_iterations number of re-fitting iterations
* before each incremental proxy insertion * before each incremental proxy insertion
* @return number of proxies initialized * @return number of proxies initialized
*/ */
std::size_t init_incremental(const std::size_t max_nb_proxies, std::size_t init_incremental(const std::size_t max_nb_proxies,
const std::size_t num_iterations) { const std::size_t num_iterations) {
// initialize a proxy and the proxy map to prepare for the insertion if (m_proxies.size() < max_nb_proxies)
bootstrap_from_first_facet(); add_proxies_furthest(max_nb_proxies - m_proxies.size(), num_iterations);
add_proxies_furthest(max_nb_proxies - 1, num_iterations);
return m_proxies.size(); return m_proxies.size();
} }
@ -1046,16 +1047,13 @@ private:
/*! /*!
* @brief Hierarchical initialize proxies to target number of proxies. * @brief Hierarchical initialize proxies to target number of proxies.
* @param max_nb_proxies maximum number of proxies, * @param max_nb_proxies maximum number of proxies,
* should be in range (0, num_faces(*m_ptm)) * should be in range (nb_connected_components, num_faces(*m_ptm))
* @param num_iterations number of re-fitting iterations * @param num_iterations number of re-fitting iterations
* before each hierarchical proxy insertion * before each hierarchical proxy insertion
* @return number of proxies initialized * @return number of proxies initialized
*/ */
std::size_t init_hierarchical(const std::size_t max_nb_proxies, std::size_t init_hierarchical(const std::size_t max_nb_proxies,
const std::size_t num_iterations) { const std::size_t num_iterations) {
// initialize a proxy and the proxy map to prepare for the insertion
bootstrap_from_first_facet();
while (m_proxies.size() < max_nb_proxies) { while (m_proxies.size() < max_nb_proxies) {
// try to double current number of proxies each time // try to double current number of proxies each time
std::size_t target_px = m_proxies.size(); std::size_t target_px = m_proxies.size();
@ -1076,7 +1074,7 @@ private:
* with both maximum number of proxies and minimum error drop stop criteria, * with both maximum number of proxies and minimum error drop stop criteria,
* The first criterion met stops the seeding. * The first criterion met stops the seeding.
* @note To ensure the randomness, call `std::srand()` beforehand. * @note To ensure the randomness, call `std::srand()` beforehand.
* @param max_nb_proxies maximum number of proxies, should be in range (0, num_faces(tm) / 3) * @param max_nb_proxies maximum number of proxies, should be in range (nb_connected_components, num_faces(tm) / 3)
* @param min_error_drop minimum error drop, should be in range (0.0, 1.0) * @param min_error_drop minimum error drop, should be in range (0.0, 1.0)
* @param num_iterations number of re-fitting iterations * @param num_iterations number of re-fitting iterations
* @return number of proxies initialized * @return number of proxies initialized
@ -1084,11 +1082,15 @@ private:
std::size_t init_random_error(const std::size_t max_nb_proxies, std::size_t init_random_error(const std::size_t max_nb_proxies,
const FT min_error_drop, const FT min_error_drop,
const std::size_t num_iterations) { const std::size_t num_iterations) {
// fill a temporary vector of facets // random shuffled facets except for the bootstrapped connected component seed facets
std::vector<face_descriptor> facets; std::vector<face_descriptor> shuffled_facets;
random_shuffle_facets(facets); random_shuffle_non_seed_facets(shuffled_facets);
// keep a copy of the connected components seeds
std::vector<face_descriptor> cc_seed_facets;
BOOST_FOREACH(const Proxy_wrapper &pxw, m_proxies)
cc_seed_facets.push_back(pxw.seed);
bootstrap_from_first_facet();
const FT initial_err = compute_fitting_error(); const FT initial_err = compute_fitting_error();
FT error_drop = min_error_drop * FT(2.0); FT error_drop = min_error_drop * FT(2.0);
while (m_proxies.size() < max_nb_proxies && error_drop > min_error_drop) { while (m_proxies.size() < max_nb_proxies && error_drop > min_error_drop) {
@ -1098,10 +1100,17 @@ private:
target_px = max_nb_proxies; target_px = max_nb_proxies;
else else
target_px *= 2; target_px *= 2;
// reset proxies to the bootstrapped connected components
m_proxies.clear(); m_proxies.clear();
for (std::size_t j = 0; j < target_px; ++j) BOOST_FOREACH(face_descriptor f, cc_seed_facets)
m_proxies.push_back(fit_new_proxy(facets[j], m_proxies.size())); m_proxies.push_back(fit_new_proxy(f, m_proxies.size()));
for (std::size_t i = 0; i < shuffled_facets.size()
&& m_proxies.size() < target_px; ++i)
m_proxies.push_back(fit_new_proxy(shuffled_facets[i], m_proxies.size()));
run(num_iterations); run(num_iterations);
const FT err = compute_fitting_error(); const FT err = compute_fitting_error();
error_drop = err / initial_err; error_drop = err / initial_err;
} }
@ -1113,7 +1122,7 @@ private:
* @brief Incrementally initialize proxies * @brief Incrementally initialize proxies
* with both maximum number of proxies and minimum error drop stop criteria, * with both maximum number of proxies and minimum error drop stop criteria,
* The first criterion met stops the seeding. * The first criterion met stops the seeding.
* @param max_nb_proxies maximum number of proxies, should be in range (0, num_faces(tm) / 3) * @param max_nb_proxies maximum number of proxies, should be in range (nb_connected_components, num_faces(tm) / 3)
* @param min_error_drop minimum error drop, should be in range (0.0, 1.0) * @param min_error_drop minimum error drop, should be in range (0.0, 1.0)
* @param num_iterations number of re-fitting iterations * @param num_iterations number of re-fitting iterations
* @return number of proxies initialized * @return number of proxies initialized
@ -1121,8 +1130,6 @@ private:
std::size_t init_incremental_error(const std::size_t max_nb_proxies, std::size_t init_incremental_error(const std::size_t max_nb_proxies,
const FT min_error_drop, const FT min_error_drop,
const std::size_t num_iterations) { const std::size_t num_iterations) {
// initialize a proxy and the proxy map to prepare for the insertion
bootstrap_from_first_facet();
const FT initial_err = compute_fitting_error(); const FT initial_err = compute_fitting_error();
FT error_drop = min_error_drop * FT(2.0); FT error_drop = min_error_drop * FT(2.0);
while (m_proxies.size() < max_nb_proxies && error_drop > min_error_drop) { while (m_proxies.size() < max_nb_proxies && error_drop > min_error_drop) {
@ -1139,7 +1146,7 @@ private:
* @brief Hierarchically initialize proxies * @brief Hierarchically initialize proxies
* with both maximum number of proxies and minimum error drop stop criteria, * with both maximum number of proxies and minimum error drop stop criteria,
* The first criterion met stops the seeding. * The first criterion met stops the seeding.
* @param max_nb_proxies maximum number of proxies, should be in range (0, num_faces(tm) / 3) * @param max_nb_proxies maximum number of proxies, should be in range (nb_connected_components, num_faces(tm) / 3)
* @param min_error_drop minimum error drop, should be in range (0.0, 1.0) * @param min_error_drop minimum error drop, should be in range (0.0, 1.0)
* @param num_iterations number of re-fitting iterations * @param num_iterations number of re-fitting iterations
* @return number of proxies initialized * @return number of proxies initialized
@ -1147,8 +1154,6 @@ private:
std::size_t init_hierarchical_error(const std::size_t max_nb_proxies, std::size_t init_hierarchical_error(const std::size_t max_nb_proxies,
const FT min_error_drop, const FT min_error_drop,
const std::size_t num_iterations) { const std::size_t num_iterations) {
// initialize a proxy and the proxy map to prepare for the insertion
bootstrap_from_first_facet();
const FT initial_err = compute_fitting_error(); const FT initial_err = compute_fitting_error();
FT error_drop = min_error_drop * FT(2.0); FT error_drop = min_error_drop * FT(2.0);
while (m_proxies.size() < max_nb_proxies && error_drop > min_error_drop) { while (m_proxies.size() < max_nb_proxies && error_drop > min_error_drop) {
@ -1320,14 +1325,26 @@ private:
} }
/*! /*!
* @brief Random shuffle the surface facets into an empty vector. * @brief Random shuffle the non-seed facets into an empty vector,
* to prepare for consecutive random seed facets selection (no interleaved re-fitting).
* @param[out] facets shuffled facets vector * @param[out] facets shuffled facets vector
*/ */
void random_shuffle_facets(std::vector<face_descriptor> &facets) { void random_shuffle_non_seed_facets(std::vector<face_descriptor> &facets) {
const std::size_t nbf = num_faces(*m_ptm); std::set<face_descriptor> seed_facets_set;
BOOST_FOREACH(const Proxy_wrapper &pxw, m_proxies)
seed_facets_set.insert(pxw.seed);
if (num_faces(*m_ptm) <= m_proxies.size())
return;
const std::size_t nbf = num_faces(*m_ptm) - m_proxies.size();
facets.reserve(nbf); facets.reserve(nbf);
BOOST_FOREACH(face_descriptor f, faces(*m_ptm)) BOOST_FOREACH(face_descriptor f, faces(*m_ptm)) {
if (seed_facets_set.find(f) != seed_facets_set.end())
continue;
facets.push_back(f); facets.push_back(f);
}
// random shuffle // random shuffle
for (std::size_t i = 0; i < nbf; ++i) { for (std::size_t i = 0; i < nbf; ++i) {
// swap ith element with a random one // swap ith element with a random one
@ -1340,20 +1357,6 @@ private:
} }
} }
/*!
* @brief Initialize a proxy from the first facet of the surface.
* @note This function clears proxy vector and set facet proxy map to initial state,
* intended only for bootstrapping initialization.
* Coarse approximation iteration is not performed, because it's inaccurate anyway
* and may cause serious degenerate cases(e.g. a standard cube mode).
*/
void bootstrap_from_first_facet() {
m_proxies.clear();
m_proxies.push_back(fit_new_proxy(*(faces(*m_ptm).first), m_proxies.size()));
BOOST_FOREACH(face_descriptor f, faces(*m_ptm))
put(m_fproxy_map, f, 0);
}
/*! /*!
* @brief Initialize proxies from each connected components of the surface. * @brief Initialize proxies from each connected components of the surface.
* @note This function clears proxy vector and set facet proxy map to initial state, * @note This function clears proxy vector and set facet proxy map to initial state,