bool SurfelsRGBDModeler :: addNewView(const RGBDImage& image_, Pose3D& depth_pose)
{
ntk::TimeCount tc("SurfelsRGBDModeler::addNewView", 1);
const float max_camera_normal_angle = ntk::deg_to_rad(90);
RGBDImage image;
image_.copyTo(image);
if (!image_.normal().data)
{
OpenniRGBDProcessor processor;
processor.computeNormalsPCL(image);
}
Pose3D rgb_pose = depth_pose;
rgb_pose.toRightCamera(image.calibration()->rgb_intrinsics, image.calibration()->R, image.calibration()->T);
Pose3D world_to_camera_normal_pose;
world_to_camera_normal_pose.applyTransformBefore(cv::Vec3f(0,0,0), depth_pose.cvEulerRotation());
Pose3D camera_to_world_normal_pose = world_to_camera_normal_pose;
camera_to_world_normal_pose.invert();
const Mat1f& depth_im = image.depth();
Mat1b covered_pixels (depth_im.size());
covered_pixels = 0;
std::list<Surfel> surfels_to_reinsert;
// Surfel updating.
for (SurfelMap::iterator next_it = m_surfels.begin(); next_it != m_surfels.end(); )
{
SurfelMap::iterator surfel_it = next_it;
++next_it;
Surfel& surfel = surfel_it->second;
if (!surfel.enabled())
continue;
Point3f surfel_2d = depth_pose.projectToImage(surfel.location);
bool surfel_deleted = false;
int r = ntk::math::rnd(surfel_2d.y);
int c = ntk::math::rnd(surfel_2d.x);
int d = ntk::math::rnd(surfel_2d.z);
if (!is_yx_in_range(depth_im, r, c)
|| !image.depthMask()(r, c)
|| !image.isValidNormal(r,c))
continue;
const float update_max_dist = getCompatibilityDistance(depth_im(r,c));
Vec3f camera_normal = image.normal()(r, c);
normalize(camera_normal);
Vec3f world_normal = camera_to_world_normal_pose.cameraTransform(camera_normal);
normalize(world_normal);
Vec3f eyev = camera_eye_vector(depth_pose, r, c);
double camera_angle = acos(camera_normal.dot(-eyev));
if (camera_angle > max_camera_normal_angle)
continue;
float normal_angle = acos(world_normal.dot(surfel.normal));
// Surfels have different normals, maybe two different faces of the same object.
if (normal_angle > (m_update_max_normal_angle*M_PI/180.0))
{
// Removal check. If a surfel has a different normal and is closer to the camera
// than the new scan, remove it.
if ((-surfel_2d.z) < depth_im(r,c) && surfel.n_views < 3)
{
m_surfels.erase(surfel_it);
surfel_deleted = true;
}
continue;
}
// If existing surfel is far from new depth value:
// - If existing one had a worst point of view, and was seen only once, remove it.
// - Otherwise do not include the new one.
if (std::abs(surfel_2d.z - depth_im(r,c)) > update_max_dist)
{
if (surfel.min_camera_angle > camera_angle && surfel.n_views < 3)
{
m_surfels.erase(surfel_it);
surfel_deleted = true;
}
else
covered_pixels(r,c) = 1;
continue;
}
// Compatible surfel found.
const float depth = depth_im(r,c) + m_global_depth_offset;
Point3f p3d = depth_pose.unprojectFromImage(Point2f(c,r), depth);
cv::Vec3b rgb_color = bgr_to_rgb(image.mappedRgb()(r, c));
Surfel image_surfel;
image_surfel.location = p3d;
image_surfel.normal = world_normal;
image_surfel.color = rgb_color;
image_surfel.min_camera_angle = camera_angle;
image_surfel.n_views = 1;
image_surfel.radius = computeSurfelRadius(depth, camera_normal[2], depth_pose.meanFocal());
mergeToLeftSurfel(surfel, image_surfel);
covered_pixels(r,c) = 1;
// needs to change the cell?
Cell new_cell = worldToCell(surfel.location);
if (new_cell != surfel_it->first)
{
surfels_to_reinsert.push_back(surfel);
m_surfels.erase(surfel_it);
}
}
foreach_const_it(it, surfels_to_reinsert, std::list<Surfel>)
{
Cell new_cell = worldToCell(it->location);
m_surfels.insert(std::make_pair(new_cell, *it));
}
void MeshGenerator :: generateSurfelsMesh(const RGBDImage& image,
const Pose3D& depth_pose,
const Pose3D& rgb_pose)
{
double min_val = 0, max_val = 0;
if (image.amplitude().data)
minMaxLoc(image.amplitude(), &min_val, &max_val);
m_mesh.clear();
const cv::Mat1f& depth_im = image.depth();
const cv::Mat1b& mask_im = image.depthMask();
for_all_rc(depth_im)
{
int i_r = r;
int i_c = c;
if (!is_yx_in_range(depth_im, i_r, i_c))
continue;
if (!mask_im(r,c))
continue;
double depth = depth_im(i_r,i_c);
cv::Point3f p = depth_pose.unprojectFromImage(Point2f(c,r), depth);
Point3f normal = image.normal().data ? image.normal()(i_r, i_c) : Vec3f(0,0,1);
Vec3b color (0,0,0);
if (m_use_color)
{
cv::Point3f prgb = rgb_pose.projectToImage(p);
int i_y = ntk::math::rnd(prgb.y);
int i_x = ntk::math::rnd(prgb.x);
if (is_yx_in_range(image.rgb(), i_y, i_x))
{
Vec3b bgr = image.rgb()(i_y, i_x);
color = Vec3b(bgr[2], bgr[1], bgr[0]);
}
}
else
{
int g = 0;
if (image.amplitude().data)
g = 255.0 * (image.amplitude()(i_r,i_c) - min_val) / (max_val-min_val);
else
g = 255 * depth / 10.0;
color = Vec3b(g,g,g);
}
Surfel s;
s.color = color;
s.confidence = 0;
s.location = p;
s.normal = normal;
s.n_views = 1;
double normal_z = std::max(normal.z, 0.5f);
s.radius = m_resolution_factor * ntk::math::sqrt1_2 * depth
/ (depth_pose.focalX() * normal_z);
m_mesh.addSurfel(s);
}
}
void PlaneEstimator :: estimate(RGBDImage& image, Mat1b& plane_points)
{
// Passing from 3D to the optimizer
const cv::Mat3f& normal_image = image.normal();
const cv::Mat1f& distance_image = image.depth();
cv::Mat1b& mask_image = image.depthMaskRef();
cv::Mat1b objfilter;
mask_image.copyTo(objfilter);
plane_points = image.normal().clone();
plane_points = 0;
if (!image.normal().data)
{
ntk_dbg(0) << "WARNING: you must active the normal filter to get plane estimation!";
return;
}
double min[dim];
double max[dim];
int i;
for (i=0;i<dim;i++)
{
max[i] = 1000.0;
min[i] = -1000.0;
}
m_solver.Setup(min,max,DifferentialEvolutionSolver::stBest1Exp,0.8,0.75);
// Early estimation of plane points projecting the normal values
for (int r = 1; r < plane_points.rows-1; ++r)
for (int c = 1; c < plane_points.cols-1; ++c)
{
if (objfilter.data && objfilter(r,c))
{
cv::Vec3f normal = normal_image(r,c);
double prod = normal.dot(m_ref_plane);
if (prod > 0.95)
plane_points(r,c) = 255;
else
plane_points(r,c) = 0;
}
}
// cleaning of the surface very first estimation
dilate(plane_points,plane_points,cv::Mat());
erode(plane_points,plane_points,cv::Mat());
//imwrite("plane-initial.png",plane_points);
std::vector<Point3f>& g = m_solver.planePointsRef();
g.clear();
for (int r = 1; r < plane_points.rows-1; ++r)
for (int c = 1; c < plane_points.cols-1; ++c)
{
if (plane_points(r,c))
{
// possible table member!
Point3f p3d = image.calibration()->depth_pose->unprojectFromImage(Point2f(c,r), distance_image(r,c));
g.push_back(p3d);
}
}
// Calculating...
m_solver.Solve(max_generations);
double *solution = m_solver.Solution();
// Plane normalizer
float suma = solution[0] + solution[1] + solution[2] + solution[3] ;
for (int i = 0; i < 4; i++)
solution[i] = solution[i]/ suma;
ntk::Plane plano (solution[0], solution[1], solution[2], solution[3]);
//Update RGBD object
m_plane.set(solution[0], solution[1], solution[2], solution[3]);
// Final estimation of plane points projecting the normal values
cv::Vec3f diffevolnormal(solution[0], solution[1], solution[2]);
for (int r = 1; r < plane_points.rows-1; ++r)
for (int c = 1; c < plane_points.cols-1; ++c)
{
if (objfilter.data && objfilter(r,c))
{
cv::Vec3f normal = normal_image(r,c);
double prod = normal.dot(diffevolnormal);
if (prod > 0.5)
plane_points(r,c) = 255;
else
plane_points(r,c) = 0;
}
}
// Cleaning of the DE plane-pixels solution
dilate(plane_points,plane_points,cv::Mat());
erode(plane_points,plane_points,cv::Mat());
// imwrite("plane-DE.png",plane_points);
}
