refactored matcher class
This commit is contained in:
+99
-131
@@ -28,20 +28,6 @@
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#include <svo/feature_alignment.h>
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namespace svo {
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namespace matcher {
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PatchData::PatchData(int patch_size) :
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patch_size(patch_size)
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{
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patch = vk::aligned_mem::aligned_alloc<uint8_t>(patch_size*patch_size, 16);
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patch_with_border = vk::aligned_mem::aligned_alloc<uint8_t>((patch_size+2)*(patch_size+2), 16);
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}
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PatchData::~PatchData()
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{
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free(patch);
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free(patch_with_border);
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}
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namespace warp {
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@@ -74,14 +60,14 @@ int getBestSearchLevel(
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const int max_level)
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{
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// Compute patch level in other image
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int level_cur = 0;
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int search_level = 0;
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double D = A_cur_ref.determinant();
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while(D > 3.0 && level_cur < max_level)
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while(D > 3.0 && search_level < max_level)
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{
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level_cur += 1;
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search_level += 1;
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D *= 0.25;
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}
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return level_cur;
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return search_level;
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}
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void warpAffine(
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@@ -89,12 +75,12 @@ void warpAffine(
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const cv::Mat& img_ref,
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const Vector2d& px_ref,
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const int level_ref,
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const int level_cur,
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PatchData& ref_patch)
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const int search_level,
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const int halfpatch_size,
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uint8_t* patch)
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{
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const int halfpatch_size = ref_patch.patch_size/2+1;
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const int patch_size = halfpatch_size*2 ;
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Matrix2f A_ref_cur = A_cur_ref.inverse().cast<float>();
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const Matrix2f A_ref_cur = A_cur_ref.inverse().cast<float>();
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if(isnan(A_ref_cur(0,0)))
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{
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printf("Affine warp is NaN, probably camera has no translation\n"); // TODO
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@@ -102,64 +88,36 @@ void warpAffine(
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}
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// Perform the warp on a larger patch.
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uint8_t* ref_patch_ptr = ref_patch.patch_with_border;
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uint8_t* patch_ptr = patch;
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const Vector2f px_ref_pyr = px_ref.cast<float>() / (1<<level_ref);
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for (int y=0; y<patch_size; ++y)
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{
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for (int x=0; x<patch_size; ++x, ++ref_patch_ptr)
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for (int x=0; x<patch_size; ++x, ++patch_ptr)
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{
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Vector2f px_patch(x-halfpatch_size, y-halfpatch_size);
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px_patch *= (1<<level_cur);
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px_patch *= (1<<search_level);
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const Vector2f px(A_ref_cur*px_patch + px_ref_pyr);
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if (px[0]<0 || px[1]<0 || px[0]>=img_ref.cols-1 || px[1]>=img_ref.rows-1)
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*ref_patch_ptr = 0;
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*patch_ptr = 0;
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else
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*ref_patch_ptr = (uint8_t) vk::interpolateMat_8u(img_ref, px[0], px[1]);
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*patch_ptr = (uint8_t) vk::interpolateMat_8u(img_ref, px[0], px[1]);
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}
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}
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// Remove border from large patch.
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ref_patch_ptr = ref_patch.patch;
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for(int y=1; y<g_patch_size+1; ++y, ref_patch_ptr += g_patch_size)
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{
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uint8_t* ref_patch_border_ptr = ref_patch.patch_with_border + y*(g_patch_size+2) + 1;
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for(int x=0; x<g_patch_size; ++x)
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ref_patch_ptr[x] = ref_patch_border_ptr[x];
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}
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}
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} // namespace warp
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bool findMatchDirect(
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const Point& pt,
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const Frame& cur_frame,
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Vector2d& px_cur,
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int& level_cur)
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Matcher::Matcher()
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{
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Feature* ref_ftr;
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if(!pt.getCloseViewObs(cur_frame.pos(), ref_ftr))
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return false;
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patch_ = vk::aligned_mem::aligned_alloc<uint8_t>(patch_size_*patch_size_, 16);
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patch_with_border_ = vk::aligned_mem::aligned_alloc<uint8_t>((patch_size_+2)*(patch_size_+2), 16);
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}
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if(!ref_ftr->frame->cam_->isInFrame(
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ref_ftr->px.cast<int>()/(1<<ref_ftr->level), g_halfpatch_size+2, ref_ftr->level))
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return false;
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// warp affine
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PatchData ref_patch(g_patch_size);
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Matrix2d A_cur_ref;
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warp::getWarpMatrixAffine(
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*ref_ftr->frame->cam_, *cur_frame.cam_, ref_ftr->px, ref_ftr->f,
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(ref_ftr->frame->pos() - pt.pos_).norm(), cur_frame.T_f_w_ * ref_ftr->frame->T_f_w_.inverse(), ref_ftr->level, A_cur_ref);
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level_cur = warp::getBestSearchLevel(A_cur_ref, Config::nPyrLevels()-1);
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warp::warpAffine(
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A_cur_ref, ref_ftr->frame->img_pyr_[ref_ftr->level], ref_ftr->px, ref_ftr->level, level_cur, ref_patch);
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// px_cur should be set
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Vector2d px_scaled(px_cur/(1<<level_cur));
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bool success = feature_alignment::align2D(
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cur_frame.img_pyr_[level_cur], ref_patch.patch_with_border, ref_patch.patch, 10, px_scaled);
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px_cur = px_scaled * (1<<level_cur);
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return success;
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Matcher::~Matcher()
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{
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free(patch_);
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free(patch_with_border_);
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}
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bool depthFromTriangulation(
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@@ -177,20 +135,57 @@ bool depthFromTriangulation(
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return true;
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}
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bool findEpipolarMatchDirect(
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void Matcher::createPatchFromPatchWithBorder()
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{
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uint8_t* ref_patch_ptr = patch_;
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for(int y=1; y<patch_size_+1; ++y, ref_patch_ptr += patch_size_)
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{
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uint8_t* ref_patch_border_ptr = patch_with_border_ + y*(patch_size_+2) + 1;
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for(int x=0; x<patch_size_; ++x)
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ref_patch_ptr[x] = ref_patch_border_ptr[x];
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}
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}
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bool Matcher::findMatchDirect(
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const Point& pt,
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const Frame& cur_frame,
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Vector2d& px_cur)
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{
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if(!pt.getCloseViewObs(cur_frame.pos(), ref_ftr_))
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return false;
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if(!ref_ftr_->frame->cam_->isInFrame(
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ref_ftr_->px.cast<int>()/(1<<ref_ftr_->level), halfpatch_size_+2, ref_ftr_->level))
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return false;
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// warp affine
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warp::getWarpMatrixAffine(
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*ref_ftr_->frame->cam_, *cur_frame.cam_, ref_ftr_->px, ref_ftr_->f,
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(ref_ftr_->frame->pos() - pt.pos_).norm(),
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cur_frame.T_f_w_ * ref_ftr_->frame->T_f_w_.inverse(), ref_ftr_->level, A_cur_ref_);
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search_level_ = warp::getBestSearchLevel(A_cur_ref_, Config::nPyrLevels()-1);
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warp::warpAffine(A_cur_ref_, ref_ftr_->frame->img_pyr_[ref_ftr_->level], ref_ftr_->px,
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ref_ftr_->level, search_level_, halfpatch_size_+1, patch_with_border_);
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createPatchFromPatchWithBorder();
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// px_cur should be set
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Vector2d px_scaled(px_cur/(1<<search_level_));
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bool success = feature_alignment::align2D(
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cur_frame.img_pyr_[search_level_], patch_with_border_, patch_,
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options_.align_max_iter, px_scaled);
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px_cur = px_scaled * (1<<search_level_);
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return success;
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}
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bool Matcher::findEpipolarMatchDirect(
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const Frame& ref_frame,
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const Frame& cur_frame,
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const Feature& ref_ftr,
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const double d_estimate,
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const double d_min,
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const double d_max,
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const bool align_1d,
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double& depth,
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double& h_inv)
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double& depth)
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{
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typedef vk::patch_score::ZMSSD<g_halfpatch_size> PatchScore;
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PatchData ref_patch(g_patch_size);
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SE3 T_cur_ref = cur_frame.T_f_w_ * ref_frame.T_f_w_.inverse();
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int zmssd_best = PatchScore::threshold();
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Vector2d uv_best;
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@@ -201,64 +196,57 @@ bool findEpipolarMatchDirect(
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Vector2d epi_dir = A - B;
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// Compute affine warp matrix
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Matrix2d A_cur_ref;
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warp::getWarpMatrixAffine(
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*ref_frame.cam_, *cur_frame.cam_, ref_ftr.px, ref_ftr.f,
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d_estimate, T_cur_ref, ref_ftr.level, A_cur_ref);
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int level_cur = warp::getBestSearchLevel(A_cur_ref, Config::nPyrLevels()-1);
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d_estimate, T_cur_ref, ref_ftr.level, A_cur_ref_);
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search_level_ = warp::getBestSearchLevel(A_cur_ref_, Config::nPyrLevels()-1);
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// Find length of search range on epipolar line
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Vector2d px_A(cur_frame.cam_->world2cam(A));
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Vector2d px_B(cur_frame.cam_->world2cam(B));
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double px_length = (px_A-px_B).norm() / (1<<level_cur);
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#ifdef DEBUG_MATCHER_EPISEARCH
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printf("px_length = %f\n", px_length);
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cv::Mat img_rgb = cv::Mat(cur_frame.img_pyr_.at(level_cur).size(), CV_8UC3);
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cv::cvtColor(cur_frame.img_pyr_.at(level_cur), img_rgb, CV_GRAY2RGB);
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#endif
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epi_length_ = (px_A-px_B).norm() / (1<<search_level_);
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// Warp reference patch at ref_level
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warp::warpAffine(
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A_cur_ref, ref_frame.img_pyr_[ref_ftr.level], ref_ftr.px, ref_ftr.level, level_cur, ref_patch);
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warp::warpAffine(A_cur_ref_, ref_frame.img_pyr_[ref_ftr.level], ref_ftr.px,
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ref_ftr.level, search_level_, halfpatch_size_+1, patch_with_border_);
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createPatchFromPatchWithBorder();
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//printf("px_length = %f\n", px_length);
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if(px_length < 2.0)
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if(epi_length_ < 2.0)
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{
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Vector2d px = (px_A+px_B)/2.0;
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Vector2d px_scaled(px/(1<<level_cur));
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Vector2d px_scaled(px/(1<<search_level_));
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bool res;
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if(align_1d)
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if(options_.align_1d)
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res = feature_alignment::align1D(
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cur_frame.img_pyr_[level_cur], (px_A-px_B).cast<float>().normalized(),
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ref_patch.patch_with_border, ref_patch.patch, 10, px_scaled, h_inv);
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cur_frame.img_pyr_[search_level_], (px_A-px_B).cast<float>().normalized(),
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patch_with_border_, patch_, options_.align_max_iter, px_scaled, h_inv_);
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else
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res = feature_alignment::align2D(
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cur_frame.img_pyr_[level_cur], ref_patch.patch_with_border,
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ref_patch.patch, 10, px_scaled);
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cur_frame.img_pyr_[search_level_], patch_with_border_, patch_,
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options_.align_max_iter, px_scaled);
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if(res)
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{
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px = px_scaled*(1<<level_cur);
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px = px_scaled*(1<<search_level_);
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if(depthFromTriangulation(T_cur_ref, ref_ftr.f, cur_frame.cam_->cam2world(px), depth))
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return true;
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}
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return false;
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}
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size_t n_steps = px_length/0.7; // one step per pixel
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size_t n_steps = epi_length_/0.7; // one step per pixel
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Vector2d step = epi_dir/n_steps;
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if(n_steps > 1000)
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if(n_steps > options_.max_epi_search_steps)
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{
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printf("WARNING: skip epipolar search: %zu evaluations, px_lenght=%f, d_min=%f, d_max=%f.\n",
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n_steps, px_length, d_min, d_max);
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n_steps, epi_length_, d_min, d_max);
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return false;
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}
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// for matching, precompute sum and sum2 of warped reference patch
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int pixel_sum = 0;
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int pixel_sum_square = 0;
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PatchScore patch_score(ref_patch.patch);
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PatchScore patch_score(patch_);
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// now we sample along the epipolar line
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Vector2d uv = B-step;
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@@ -267,24 +255,22 @@ bool findEpipolarMatchDirect(
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for(size_t i=0; i<n_steps; ++i, uv+=step)
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{
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Vector2d px(cur_frame.cam_->world2cam(uv));
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Vector2i pxi(px[0]/(1<<level_cur)+0.5,
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px[1]/(1<<level_cur)+0.5); // +0.5 to round to closest int
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#ifdef DEBUG_MATCHER_EPISEARCH
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cv::circle(img_rgb, cv::Point2f(pxi[0], pxi[1]), 1, cv::Scalar(0,0,255), 1);
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#endif
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Vector2i pxi(px[0]/(1<<search_level_)+0.5,
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px[1]/(1<<search_level_)+0.5); // +0.5 to round to closest int
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if(pxi == last_checked_pxi)
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continue;
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last_checked_pxi = pxi;
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// check if the patch is full within the new frame
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if(!cur_frame.cam_->isInFrame(pxi, g_patch_size, level_cur))
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if(!cur_frame.cam_->isInFrame(pxi, patch_size_, search_level_))
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continue;
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// TODO interpolation would probably be a good idea
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uint8_t* cur_patch_ptr = cur_frame.img_pyr_[level_cur].data + (pxi[1]-g_halfpatch_size)*cur_frame.img_pyr_[level_cur].cols + (pxi[0]-g_halfpatch_size);
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int zmssd = patch_score.computeScore(cur_patch_ptr, cur_frame.img_pyr_[level_cur].cols);
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uint8_t* cur_patch_ptr = cur_frame.img_pyr_[search_level_].data
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+ (pxi[1]-halfpatch_size_)*cur_frame.img_pyr_[search_level_].cols
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+ (pxi[0]-halfpatch_size_);
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int zmssd = patch_score.computeScore(cur_patch_ptr, cur_frame.img_pyr_[search_level_].cols);
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if(zmssd < zmssd_best) {
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zmssd_best = zmssd;
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@@ -292,41 +278,24 @@ bool findEpipolarMatchDirect(
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}
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}
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#ifdef DEBUG_MATCHER_EPISEARCH
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if(zmssd_best < g_zmssd_thresh) {
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Vector2d px(cur_frame.cam_->world2cam(uv_best));
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Vector2i pxi(px[0]/(1<<level_cur)+0.5, px[1]/(1<<level_cur)+0.5);
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cv::circle(img_rgb, cv::Point2f(px[0]/(1<<level_cur), px[1]/(1<<level_cur)), 8, cv::Scalar(255,0,0), 2);
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}
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cv::imshow("cur_img", img_rgb);
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cv::Mat ref_img_rgb = cv::Mat(ref_frame.img_pyr_.at(ref_ftr.level).size(), CV_8UC3);
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cv::cvtColor(ref_frame.img_pyr_.at(ref_ftr.level), ref_img_rgb, CV_GRAY2RGB);
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cv::circle(ref_img_rgb, cv::Point2f(ref_ftr.px[0]/(1<<ref_ftr.level), ref_ftr.px[1]/(1<<ref_ftr.level)), 8, cv::Scalar(255,0,0), 2);
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cv::imshow("ref_img", ref_img_rgb);
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uint8_t* cur_patch_ptr = cur_frame.img_pyr_[level_cur].data + (pxi[1]-g_halfpatch_size)*cur_frame.img_pyr_[level_cur].cols + (pxi[0]-g_halfpatch_size);
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cv::Mat cur_patch(g_patch_size,g_patch_size,CV_8U,cur_patch_ptr);
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cv::imshow("cur_patch", cur_patch);
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cv::waitKey(0);
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#endif
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if(zmssd_best < PatchScore::threshold())
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{
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// if(px_length < 4.0)
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if(options_.subpix_refinement)
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{
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Vector2d px(cur_frame.cam_->world2cam(uv_best));
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Vector2d px_scaled(px/(1<<level_cur));
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Vector2d px_scaled(px/(1<<search_level_));
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bool res;
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if(align_1d)
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if(options_.align_1d)
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res = feature_alignment::align1D(
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cur_frame.img_pyr_[level_cur], (px_A-px_B).cast<float>().normalized(),
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ref_patch.patch_with_border, ref_patch.patch, 10, px_scaled, h_inv);
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cur_frame.img_pyr_[search_level_], (px_A-px_B).cast<float>().normalized(),
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patch_with_border_, patch_, options_.align_max_iter, px_scaled, h_inv_);
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else
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res = feature_alignment::align2D(
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cur_frame.img_pyr_[level_cur], ref_patch.patch_with_border,
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ref_patch.patch, 10, px_scaled);
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cur_frame.img_pyr_[search_level_], patch_with_border_, patch_,
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options_.align_max_iter, px_scaled);
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if(res)
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{
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px = px_scaled*(1<<level_cur);
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px = px_scaled*(1<<search_level_);
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if(depthFromTriangulation(T_cur_ref, ref_ftr.f, cur_frame.cam_->cam2world(px), depth))
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return true;
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}
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@@ -339,5 +308,4 @@ bool findEpipolarMatchDirect(
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return false;
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}
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} // namespace matcher
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} // namespace svo
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