boofcv.alg.sfm.robust.GenerateSe2_PlanePtPixel Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of sfm Show documentation
Show all versions of sfm Show documentation
BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2014, Peter Abeles. All Rights Reserved.
*
* This file is part of BoofCV (http://boofcv.org).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package boofcv.alg.sfm.robust;
import boofcv.alg.sfm.overhead.CameraPlaneProjection;
import boofcv.struct.sfm.PlanePtPixel;
import georegression.fitting.MotionTransformPoint;
import georegression.fitting.se.MotionSe2PointSVD_F64;
import georegression.struct.point.Point2D_F64;
import georegression.struct.se.Se2_F64;
import georegression.struct.se.Se3_F64;
import org.ddogleg.fitting.modelset.ModelGenerator;
import org.ddogleg.struct.FastQueue;
import java.util.ArrayList;
import java.util.List;
/**
* Uses {@link georegression.fitting.MotionTransformPoint} to estimate the rigid body motion
* from key-frame to current-frame in 2D between two observations of a point on the plane.
*
* @author Peter Abeles
*/
public class GenerateSe2_PlanePtPixel implements
ModelGenerator
{
// estimates rigid body motion from two sets of associated points
MotionTransformPoint estimator;
// code for projection to/from plane
private CameraPlaneProjection planeProjection = new CameraPlaneProjection();
List from = new ArrayList();
FastQueue to = new FastQueue(Point2D_F64.class,true);
public GenerateSe2_PlanePtPixel(MotionTransformPoint estimator) {
this.estimator = estimator;
}
public GenerateSe2_PlanePtPixel() {
estimator = new MotionSe2PointSVD_F64();
}
/**
* Specify extrinsic camera properties
* @param planeToCamera Transform from plane to camera reference frame
*/
public void setExtrinsic(Se3_F64 planeToCamera) {
planeProjection.setPlaneToCamera(planeToCamera, true);
}
@Override
public boolean generate(List dataSet, Se2_F64 keyToCurr) {
from.clear();
to.reset();
for( int i = 0; i < dataSet.size(); i++ ) {
PlanePtPixel p = dataSet.get(i);
Point2D_F64 planeCurr = to.grow();
// project current observation onto the plane
if( planeProjection.normalToPlane(p.normalizedCurr.x, p.normalizedCurr.y, planeCurr) ) {
from.add(p.getPlaneKey());
} else {
to.removeTail();
}
}
if( !estimator.process(from,to.toList()) )
return false;
keyToCurr.set(estimator.getTransformSrcToDst());
return true;
}
@Override
public int getMinimumPoints() {
return estimator.getMinimumPoints();
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy