OdometryFovis.cpp
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1 /*
2 Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
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27 
28 #include "rtabmap/core/odometry/OdometryFovis.h"
29 #include "rtabmap/core/OdometryInfo.h"
30 #include "rtabmap/core/util2d.h"
31 #include "rtabmap/utilite/ULogger.h"
32 #include "rtabmap/utilite/UTimer.h"
33 #include "rtabmap/utilite/UStl.h"
34 #include <opencv2/imgproc/types_c.h>
35 
36 #ifdef RTABMAP_FOVIS
37 #include <libfovis/fovis.hpp>
38 #endif
39 
40 namespace rtabmap {
41 
42 OdometryFovis::OdometryFovis(const ParametersMap & parameters) :
43  Odometry(parameters)
44 #ifdef RTABMAP_FOVIS
45  ,
46  fovis_(0),
47  rect_(0),
48  stereoCalib_(0),
49  depthImage_(0),
50  stereoDepth_(0),
51  lost_(false)
52 #endif
53 {
54  fovisParameters_ = Parameters::filterParameters(parameters, "OdomFovis");
55  if(parameters.find(Parameters::kOdomVisKeyFrameThr()) != parameters.end())
56  {
57  fovisParameters_.insert(*parameters.find(Parameters::kOdomVisKeyFrameThr()));
58  }
59 }
60 
61 OdometryFovis::~OdometryFovis()
62 {
63 #ifdef RTABMAP_FOVIS
64  delete fovis_;
65  delete rect_;
66  delete stereoCalib_;
67  delete depthImage_;
68  delete stereoDepth_;
69 #endif
70 }
71 
72 void OdometryFovis::reset(const Transform & initialPose)
73 {
74  Odometry::reset(initialPose);
75 #ifdef RTABMAP_FOVIS
76  if(fovis_)
77  {
78  delete fovis_;
79  fovis_ = 0;
80  }
81  if(rect_)
82  {
83  delete rect_;
84  rect_ = 0;
85  }
86  if(stereoCalib_)
87  {
88  delete stereoCalib_;
89  stereoCalib_ = 0;
90  }
91  if(depthImage_)
92  {
93  delete depthImage_;
94  depthImage_ = 0;
95  }
96  if(stereoDepth_)
97  {
98  delete stereoDepth_;
99  stereoDepth_ = 0;
100  }
101  lost_ = false;
102  previousLocalTransform_.setNull();
103 #endif
104 }
105 
106 // return not null transform if odometry is correctly computed
107 Transform OdometryFovis::computeTransform(
108  SensorData & data,
109  const Transform & guess,
110  OdometryInfo * info)
111 {
112  UDEBUG("");
113  Transform t;
114 
115 #ifdef RTABMAP_FOVIS
116  UTimer timer;
117 
118  if(data.imageRaw().empty() ||
119  data.imageRaw().rows != data.depthOrRightRaw().rows ||
120  data.imageRaw().cols != data.depthOrRightRaw().cols)
121  {
122  UERROR("Not supported input!");
123  return t;
124  }
125 
126  if(!((data.cameraModels().size() == 1 && data.cameraModels()[0].isValidForReprojection()) ||
127  (data.stereoCameraModels().size() == 1 && data.stereoCameraModels()[0].isValidForProjection())))
128  {
129  UERROR("Invalid camera model! Mono cameras=%d (reproj=%d), Stereo cameras=%d (reproj=%d)",
130  (int)data.cameraModels().size(),
131  data.cameraModels().size() && data.cameraModels()[0].isValidForReprojection()?1:0,
132  (int)data.stereoCameraModels().size(),
133  data.stereoCameraModels().size() && data.stereoCameraModels()[0].isValidForProjection()?1:0);
134  return t;
135  }
136 
137  cv::Mat gray;
138  if(data.imageRaw().type() == CV_8UC3)
139  {
140  cv::cvtColor(data.imageRaw(), gray, CV_BGR2GRAY);
141  }
142  else if(data.imageRaw().type() == CV_8UC1)
143  {
144  gray = data.imageRaw();
145  }
146  else
147  {
148  UFATAL("Not supported color type!");
149  }
150 
151  fovis::VisualOdometryOptions options;
152  if(fovis_ == 0 || (data.cameraModels().size() != 1 && stereoDepth_ == 0))
153  {
154  options = fovis::VisualOdometry::getDefaultOptions();
155 
156  ParametersMap defaults = Parameters::getDefaultParameters("OdomFovis");
157  options["feature-window-size"] = uValue(fovisParameters_, Parameters::kOdomFovisFeatureWindowSize(), defaults.at(Parameters::kOdomFovisFeatureWindowSize()));
158  options["max-pyramid-level"] = uValue(fovisParameters_, Parameters::kOdomFovisMaxPyramidLevel(), defaults.at(Parameters::kOdomFovisMaxPyramidLevel()));
159  options["min-pyramid-level"] = uValue(fovisParameters_, Parameters::kOdomFovisMinPyramidLevel(), defaults.at(Parameters::kOdomFovisMinPyramidLevel()));
160  options["target-pixels-per-feature"] = uValue(fovisParameters_, Parameters::kOdomFovisTargetPixelsPerFeature(), defaults.at(Parameters::kOdomFovisTargetPixelsPerFeature()));
161  options["fast-threshold"] = uValue(fovisParameters_, Parameters::kOdomFovisFastThreshold(), defaults.at(Parameters::kOdomFovisFastThreshold()));
162  options["use-adaptive-threshold"] = uValue(fovisParameters_, Parameters::kOdomFovisUseAdaptiveThreshold(), defaults.at(Parameters::kOdomFovisUseAdaptiveThreshold()));
163  options["fast-threshold-adaptive-gain"] = uValue(fovisParameters_, Parameters::kOdomFovisFastThresholdAdaptiveGain(), defaults.at(Parameters::kOdomFovisFastThresholdAdaptiveGain()));
164  options["use-homography-initialization"] = uValue(fovisParameters_, Parameters::kOdomFovisUseHomographyInitialization(), defaults.at(Parameters::kOdomFovisUseHomographyInitialization()));
165  options["ref-frame-change-threshold"] = uValue(fovisParameters_, Parameters::kOdomVisKeyFrameThr(), uNumber2Str(Parameters::defaultOdomVisKeyFrameThr()));
166 
167  // OdometryFrame
168  options["use-bucketing"] = uValue(fovisParameters_, Parameters::kOdomFovisUseBucketing(), defaults.at(Parameters::kOdomFovisUseBucketing()));
169  options["bucket-width"] = uValue(fovisParameters_, Parameters::kOdomFovisBucketWidth(), defaults.at(Parameters::kOdomFovisBucketWidth()));
170  options["bucket-height"] = uValue(fovisParameters_, Parameters::kOdomFovisBucketHeight(), defaults.at(Parameters::kOdomFovisBucketHeight()));
171  options["max-keypoints-per-bucket"] = uValue(fovisParameters_, Parameters::kOdomFovisMaxKeypointsPerBucket(), defaults.at(Parameters::kOdomFovisMaxKeypointsPerBucket()));
172  options["use-image-normalization"] = uValue(fovisParameters_, Parameters::kOdomFovisUseImageNormalization(), defaults.at(Parameters::kOdomFovisUseImageNormalization()));
173 
174  // MotionEstimator
175  options["inlier-max-reprojection-error"] = uValue(fovisParameters_, Parameters::kOdomFovisInlierMaxReprojectionError(), defaults.at(Parameters::kOdomFovisInlierMaxReprojectionError()));
176  options["clique-inlier-threshold"] = uValue(fovisParameters_, Parameters::kOdomFovisCliqueInlierThreshold(), defaults.at(Parameters::kOdomFovisCliqueInlierThreshold()));
177  options["min-features-for-estimate"] = uValue(fovisParameters_, Parameters::kOdomFovisMinFeaturesForEstimate(), defaults.at(Parameters::kOdomFovisMinFeaturesForEstimate()));
178  options["max-mean-reprojection-error"] = uValue(fovisParameters_, Parameters::kOdomFovisMaxMeanReprojectionError(), defaults.at(Parameters::kOdomFovisMaxMeanReprojectionError()));
179  options["use-subpixel-refinement"] = uValue(fovisParameters_, Parameters::kOdomFovisUseSubpixelRefinement(), defaults.at(Parameters::kOdomFovisUseSubpixelRefinement()));
180  options["feature-search-window"] = uValue(fovisParameters_, Parameters::kOdomFovisFeatureSearchWindow(), defaults.at(Parameters::kOdomFovisFeatureSearchWindow()));
181  options["update-target-features-with-refined"] = uValue(fovisParameters_, Parameters::kOdomFovisUpdateTargetFeaturesWithRefined(), defaults.at(Parameters::kOdomFovisUpdateTargetFeaturesWithRefined()));
182 
183  // StereoDepth
184  options["stereo-require-mutual-match"] = uValue(fovisParameters_, Parameters::kOdomFovisStereoRequireMutualMatch(), defaults.at(Parameters::kOdomFovisStereoRequireMutualMatch()));
185  options["stereo-max-dist-epipolar-line"] = uValue(fovisParameters_, Parameters::kOdomFovisStereoMaxDistEpipolarLine(), defaults.at(Parameters::kOdomFovisStereoMaxDistEpipolarLine()));
186  options["stereo-max-refinement-displacement"] = uValue(fovisParameters_, Parameters::kOdomFovisStereoMaxRefinementDisplacement(), defaults.at(Parameters::kOdomFovisStereoMaxRefinementDisplacement()));
187  options["stereo-max-disparity"] = uValue(fovisParameters_, Parameters::kOdomFovisStereoMaxDisparity(), defaults.at(Parameters::kOdomFovisStereoMaxDisparity()));
188  }
189 
190  fovis::DepthSource * depthSource = 0;
191  cv::Mat depth;
192  cv::Mat right;
193  Transform localTransform = Transform::getIdentity();
194  if(data.cameraModels().size() == 1) //depth
195  {
196  UDEBUG("");
197  fovis::CameraIntrinsicsParameters rgb_params;
198  memset(&rgb_params, 0, sizeof(fovis::CameraIntrinsicsParameters));
199  rgb_params.width = data.cameraModels()[0].imageWidth();
200  rgb_params.height = data.cameraModels()[0].imageHeight();
201 
202  rgb_params.fx = data.cameraModels()[0].fx();
203  rgb_params.fy = data.cameraModels()[0].fy();
204  rgb_params.cx = data.cameraModels()[0].cx()==0.0?double(rgb_params.width) / 2.0:data.cameraModels()[0].cx();
205  rgb_params.cy = data.cameraModels()[0].cy()==0.0?double(rgb_params.height) / 2.0:data.cameraModels()[0].cy();
206  localTransform = data.cameraModels()[0].localTransform();
207 
208  if(rect_ == 0)
209  {
210  UINFO("Init rgbd fovis: %dx%d fx=%f fy=%f cx=%f cy=%f", rgb_params.width, rgb_params.height, rgb_params.fx, rgb_params.fy, rgb_params.cx, rgb_params.cy);
211  rect_ = new fovis::Rectification(rgb_params);
212  }
213 
214  if(depthImage_ == 0)
215  {
216  depthImage_ = new fovis::DepthImage(rgb_params, rgb_params.width, rgb_params.height);
217  }
218  // make sure all zeros are NAN
219  if(data.depthRaw().type() == CV_32FC1)
220  {
221  depth = data.depthRaw();
222  for(int i=0; i<depth.rows; ++i)
223  {
224  for(int j=0; j<depth.cols; ++j)
225  {
226  float & d = depth.at<float>(i,j);
227  if(d == 0.0f)
228  {
229  d = NAN;
230  }
231  }
232  }
233  }
234  else if(data.depthRaw().type() == CV_16UC1)
235  {
236  depth = cv::Mat(data.depthRaw().size(), CV_32FC1);
237  for(int i=0; i<data.depthRaw().rows; ++i)
238  {
239  for(int j=0; j<data.depthRaw().cols; ++j)
240  {
241  float d = float(data.depthRaw().at<unsigned short>(i,j))/1000.0f;
242  depth.at<float>(i, j) = d==0.0f?NAN:d;
243  }
244  }
245  }
246  else
247  {
248  UFATAL("Unknown depth format!");
249  }
250  depthImage_->setDepthImage((float*)depth.data);
251  depthSource = depthImage_;
252  }
253  else if(data.stereoCameraModels().size() == 1) // stereo
254  {
255  UDEBUG("");
256  // initialize left camera parameters
257  fovis::CameraIntrinsicsParameters left_parameters;
258  left_parameters.width = data.stereoCameraModels()[0].left().imageWidth();
259  left_parameters.height = data.stereoCameraModels()[0].left().imageHeight();
260  left_parameters.fx = data.stereoCameraModels()[0].left().fx();
261  left_parameters.fy = data.stereoCameraModels()[0].left().fy();
262  left_parameters.cx = data.stereoCameraModels()[0].left().cx()==0.0?double(left_parameters.width) / 2.0:data.stereoCameraModels()[0].left().cx();
263  left_parameters.cy = data.stereoCameraModels()[0].left().cy()==0.0?double(left_parameters.height) / 2.0:data.stereoCameraModels()[0].left().cy();
264  localTransform = data.stereoCameraModels()[0].localTransform();
265 
266  if(rect_ == 0)
267  {
268  UINFO("Init stereo fovis: %dx%d fx=%f fy=%f cx=%f cy=%f", left_parameters.width, left_parameters.height, left_parameters.fx, left_parameters.fy, left_parameters.cx, left_parameters.cy);
269  rect_ = new fovis::Rectification(left_parameters);
270  }
271 
272  if(stereoCalib_ == 0)
273  {
274  // initialize right camera parameters
275  fovis::CameraIntrinsicsParameters right_parameters;
276  right_parameters.width = data.stereoCameraModels()[0].right().imageWidth();
277  right_parameters.height = data.stereoCameraModels()[0].right().imageHeight();
278  right_parameters.fx = data.stereoCameraModels()[0].right().fx();
279  right_parameters.fy = data.stereoCameraModels()[0].right().fy();
280  right_parameters.cx = data.stereoCameraModels()[0].right().cx()==0.0?double(right_parameters.width) / 2.0:data.stereoCameraModels()[0].right().cx();
281  right_parameters.cy = data.stereoCameraModels()[0].right().cy()==0.0?double(right_parameters.height) / 2.0:data.stereoCameraModels()[0].right().cy();
282 
283  // as we use rectified images, rotation is identity
284  // and translation is baseline only
285  fovis::StereoCalibrationParameters stereo_parameters;
286  stereo_parameters.left_parameters = left_parameters;
287  stereo_parameters.right_parameters = right_parameters;
288  stereo_parameters.right_to_left_rotation[0] = 1.0;
289  stereo_parameters.right_to_left_rotation[1] = 0.0;
290  stereo_parameters.right_to_left_rotation[2] = 0.0;
291  stereo_parameters.right_to_left_rotation[3] = 0.0;
292  stereo_parameters.right_to_left_translation[0] = -data.stereoCameraModels()[0].baseline();
293  stereo_parameters.right_to_left_translation[1] = 0.0;
294  stereo_parameters.right_to_left_translation[2] = 0.0;
295 
296  stereoCalib_ = new fovis::StereoCalibration(stereo_parameters);
297  }
298 
299  if(stereoDepth_ == 0)
300  {
301  stereoDepth_ = new fovis::StereoDepth(stereoCalib_, options);
302  }
303  if(data.rightRaw().type() == CV_8UC3)
304  {
305  cv::cvtColor(data.rightRaw(), right, CV_BGR2GRAY);
306  }
307  else if(data.rightRaw().type() == CV_8UC1)
308  {
309  right = data.rightRaw();
310  }
311  else
312  {
313  UFATAL("Not supported color type!");
314  }
315  stereoDepth_->setRightImage(right.data);
316  depthSource = stereoDepth_;
317  }
318 
319  if(fovis_ == 0)
320  {
321  fovis_ = new fovis::VisualOdometry(rect_, options);
322  }
323 
324  UDEBUG("");
325  fovis_->processFrame(gray.data, depthSource);
326 
327  // get the motion estimate for this frame to the previous frame.
328  t = Transform::fromEigen3d(fovis_->getMotionEstimate());
329 
330  cv::Mat covariance;
331  fovis::MotionEstimateStatusCode statusCode = fovis_->getMotionEstimator()->getMotionEstimateStatus();
332  if(statusCode > fovis::SUCCESS)
333  {
334  UWARN("Fovis error status: %s", fovis::MotionEstimateStatusCodeStrings[statusCode]);
335  t.setNull();
336  lost_ = true;
337  covariance = cv::Mat::eye(6,6, CV_64FC1)*9999.0;
338  previousLocalTransform_.setNull();
339  }
340  else if(lost_)
341  {
342  lost_ = false;
343  // we are not lost anymore but we don't know where we are now according to last valid pose
344  covariance = cv::Mat::eye(6,6, CV_64FC1)*9999.0;
345  previousLocalTransform_.setNull();
346  }
347  else
348  {
349  const Eigen::MatrixXd& cov = fovis_->getMotionEstimator()->getMotionEstimateCov();
350  if(cov.cols() == 6 && cov.rows() == 6 && cov(0,0) > 0.0)
351  {
352  covariance = cv::Mat::eye(6,6, CV_64FC1);
353  memcpy(covariance.data, cov.data(), 36*sizeof(double));
354  covariance *= 100.0; // to be in the same scale than loop closure detection
355  }
356  }
357 
358  if(!t.isNull() && !t.isIdentity() && !localTransform.isIdentity() && !localTransform.isNull())
359  {
360  // from camera frame to base frame
361  if(!previousLocalTransform_.isNull())
362  {
363  t = previousLocalTransform_ * t * localTransform.inverse();
364  }
365  else
366  {
367  t = localTransform * t * localTransform.inverse();
368  }
369  previousLocalTransform_ = localTransform;
370  }
371 
372  if(info)
373  {
374  info->type = (int)kTypeFovis;
375  info->keyFrameAdded = fovis_->getChangeReferenceFrames();
376  info->features = fovis_->getTargetFrame()->getNumDetectedKeypoints();
377  info->reg.matches = fovis_->getMotionEstimator()->getNumMatches();
378  info->reg.inliers = fovis_->getMotionEstimator()->getNumInliers();
379  info->reg.covariance = covariance;
380 
381  if(this->isInfoDataFilled())
382  {
383  const fovis::FeatureMatch * matches = fovis_->getMotionEstimator()->getMatches();
384  int numMatches = fovis_->getMotionEstimator()->getNumMatches();
385  if(matches && numMatches>0)
386  {
387  info->refCorners.resize(numMatches);
388  info->newCorners.resize(numMatches);
389  info->cornerInliers.resize(numMatches);
390  int oi=0;
391  for (int i = 0; i < numMatches; ++i)
392  {
393  info->refCorners[i].x = matches[i].ref_keypoint->base_uv[0];
394  info->refCorners[i].y = matches[i].ref_keypoint->base_uv[1];
395  info->newCorners[i].x = matches[i].target_keypoint->base_uv[0];
396  info->newCorners[i].y = matches[i].target_keypoint->base_uv[1];
397  info->cornerInliers[oi++] = i;
398  }
399  info->cornerInliers.resize(oi);
400  }
401  }
402  }
403 
404  UINFO("Odom update time = %fs status=%s", timer.elapsed(), fovis::MotionEstimateStatusCodeStrings[statusCode]);
405 
406 #else
407  UERROR("RTAB-Map is not built with FOVIS support! Select another visual odometry approach.");
408 #endif
409  return t;
410 }
411 
412 } // namespace rtabmap
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rtabmap
Author(s): Mathieu Labbe
autogenerated on Thu Jul 25 2024 02:50:13