Пример #1
0
Файл: prop.c Проект: j0sh/thesis
static inline void check_guide(kd_tree *t, int *coeffs, int off,
    int *scores, int *pos)
{
    if (t->start + off >= t->end) return;
    int *points = t->start + off;
    int attempt = patch_score(coeffs, points, t->k);
    if (attempt < scores[0]) {
        pos[0] = off;
        scores[0] = attempt;
        if (scores[0] < scores[1]) swap2(scores, pos);
    }
}
Пример #2
0
bool Matcher::findEpipolarMatchDirect(
    const Frame& ref_frame,
    const Frame& cur_frame,
    const Feature& ref_ftr,
    const double d_estimate,
    const double d_min,
    const double d_max,
    double& depth)
{
  SE3 T_cur_ref = cur_frame.T_f_w_ * ref_frame.T_f_w_.inverse();
  int zmssd_best = PatchScore::threshold();
  Vector2d uv_best;

  // Compute start and end of epipolar line in old_kf for match search, on unit plane!
  Vector2d A = vk::project2d(T_cur_ref * (ref_ftr.f*d_min));
  Vector2d B = vk::project2d(T_cur_ref * (ref_ftr.f*d_max));
  epi_dir_ = A - B;

  // Compute affine warp matrix
  warp::getWarpMatrixAffine(
      *ref_frame.cam_, *cur_frame.cam_, ref_ftr.px, ref_ftr.f,
      d_estimate, T_cur_ref, ref_ftr.level, A_cur_ref_);

  // feature pre-selection
  reject_ = false;
  if(ref_ftr.type == Feature::EDGELET && options_.epi_search_edgelet_filtering)
  {
    const Vector2d grad_cur = (A_cur_ref_ * ref_ftr.grad).normalized();
    const double cosangle = fabs(grad_cur.dot(epi_dir_.normalized()));
    if(cosangle < options_.epi_search_edgelet_max_angle) {
      reject_ = true;
      return false;
    }
  }

  search_level_ = warp::getBestSearchLevel(A_cur_ref_, Config::nPyrLevels()-1);

  // Find length of search range on epipolar line
  Vector2d px_A(cur_frame.cam_->world2cam(A));
  Vector2d px_B(cur_frame.cam_->world2cam(B));
  epi_length_ = (px_A-px_B).norm() / (1<<search_level_);

  // Warp reference patch at ref_level
  warp::warpAffine(A_cur_ref_, ref_frame.img_pyr_[ref_ftr.level], ref_ftr.px,
                   ref_ftr.level, search_level_, halfpatch_size_+1, patch_with_border_);
  createPatchFromPatchWithBorder();

  if(epi_length_ < 2.0)
  {
    px_cur_ = (px_A+px_B)/2.0;
    Vector2d px_scaled(px_cur_/(1<<search_level_));
    bool res;
    if(options_.align_1d)
      res = feature_alignment::align1D(
          cur_frame.img_pyr_[search_level_], (px_A-px_B).cast<float>().normalized(),
          patch_with_border_, patch_, options_.align_max_iter, px_scaled, h_inv_);
    else
      res = feature_alignment::align2D(
          cur_frame.img_pyr_[search_level_], patch_with_border_, patch_,
          options_.align_max_iter, px_scaled);
    if(res)
    {
      px_cur_ = px_scaled*(1<<search_level_);
      if(depthFromTriangulation(T_cur_ref, ref_ftr.f, cur_frame.cam_->cam2world(px_cur_), depth))
        return true;
    }
    return false;
  }

  size_t n_steps = epi_length_/0.7; // one step per pixel
  Vector2d step = epi_dir_/n_steps;

  if(n_steps > options_.max_epi_search_steps)
  {
    printf("WARNING: skip epipolar search: %zu evaluations, px_lenght=%f, d_min=%f, d_max=%f.\n",
           n_steps, epi_length_, d_min, d_max);
    return false;
  }

  // for matching, precompute sum and sum2 of warped reference patch
  int pixel_sum = 0;
  int pixel_sum_square = 0;
  PatchScore patch_score(patch_);

  // now we sample along the epipolar line
  Vector2d uv = B-step;
  Vector2i last_checked_pxi(0,0);
  ++n_steps;
  for(size_t i=0; i<n_steps; ++i, uv+=step)
  {
    Vector2d px(cur_frame.cam_->world2cam(uv));
    Vector2i pxi(px[0]/(1<<search_level_)+0.5,
                 px[1]/(1<<search_level_)+0.5); // +0.5 to round to closest int

    if(pxi == last_checked_pxi)
      continue;
    last_checked_pxi = pxi;

    // check if the patch is full within the new frame
    if(!cur_frame.cam_->isInFrame(pxi, patch_size_, search_level_))
      continue;

    // TODO interpolation would probably be a good idea
    uint8_t* cur_patch_ptr = cur_frame.img_pyr_[search_level_].data
                             + (pxi[1]-halfpatch_size_)*cur_frame.img_pyr_[search_level_].cols
                             + (pxi[0]-halfpatch_size_);
    int zmssd = patch_score.computeScore(cur_patch_ptr, cur_frame.img_pyr_[search_level_].cols);

    if(zmssd < zmssd_best) {
      zmssd_best = zmssd;
      uv_best = uv;
    }
  }

  if(zmssd_best < PatchScore::threshold())
  {
    if(options_.subpix_refinement)
    {
      px_cur_ = cur_frame.cam_->world2cam(uv_best);
      Vector2d px_scaled(px_cur_/(1<<search_level_));
      bool res;
      if(options_.align_1d)
        res = feature_alignment::align1D(
            cur_frame.img_pyr_[search_level_], (px_A-px_B).cast<float>().normalized(),
            patch_with_border_, patch_, options_.align_max_iter, px_scaled, h_inv_);
      else
        res = feature_alignment::align2D(
            cur_frame.img_pyr_[search_level_], patch_with_border_, patch_,
            options_.align_max_iter, px_scaled);
      if(res)
      {
        px_cur_ = px_scaled*(1<<search_level_);
        if(depthFromTriangulation(T_cur_ref, ref_ftr.f, cur_frame.cam_->cam2world(px_cur_), depth))
          return true;
      }
      return false;
    }
    px_cur_ = cur_frame.cam_->world2cam(uv_best);
    if(depthFromTriangulation(T_cur_ref, ref_ftr.f, vk::unproject2d(uv_best).normalized(), depth))
      return true;
  }
  return false;
}