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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2017, 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.geo.pose;
import boofcv.abst.geo.optimization.ResidualsCodecToMatrix;
import boofcv.struct.sfm.Stereo2D3D;
import boofcv.struct.sfm.StereoPose;
import georegression.struct.se.Se3_F64;
import org.ddogleg.fitting.modelset.ModelCodec;
import org.ddogleg.optimization.FactoryOptimization;
import org.ddogleg.optimization.UnconstrainedLeastSquares;
import java.util.List;
/**
* Minimizes the reprojection residual error for a pose estimate (left camera) in a calibrated stereo camera.
* Rotation is encoded using rodrigues coordinates. Transform between left and right camera
* is assumed to be known and must be specified by the user. Observations are in normalized image coordinates.
*
* @author Peter Abeles
*/
public class PnPStereoRefineRodrigues implements RefinePnPStereo {
// converts to and from rodrigues coordinates
private ModelCodec motionCodec = new PnPRodriguesCodec();
// computes residual and Jacobian for optimization
private ResidualsCodecToMatrix func;
private PnPStereoJacobianRodrigues jacobian = new PnPStereoJacobianRodrigues();
// parameters that specify the stereo camera and location of left camera
private StereoPose stereoPose = new StereoPose();
// encoded model that is optimized
private double param[];
// optimizer and settings
protected UnconstrainedLeastSquares minimizer;
private int maxIterations;
private double convergenceTol;
public PnPStereoRefineRodrigues(double convergenceTol, int maxIterations)
{
this.maxIterations = maxIterations;
this.convergenceTol = convergenceTol;
this.minimizer = FactoryOptimization.leastSquareLevenberg(1e-3);
// decodes StereoPose
ModelCodec paramModel = new Se3ToStereoPoseCodec(motionCodec);
// since a reference is saved, stereoPose.worldToCam0 will be modified by the optimization
// algorithm internally
func = new ResidualsCodecToMatrix<>(
paramModel, new PnPStereoResidualReprojection(), stereoPose);
param = new double[paramModel.getParamLength()];
}
public void setLeftToRight( Se3_F64 leftToRight ) {
// cam0toCam1 is not modified during optimization since it is assumed to be known/constant
stereoPose.cam0ToCam1 = leftToRight;
jacobian.setLeftToRight(leftToRight);
}
@Override
public boolean fitModel(List obs, Se3_F64 worldToLeft, Se3_F64 refinedWorldToLeft) {
// put into a parameterized format
motionCodec.encode(worldToLeft, param);
// setup the optimization
func.setObservations(obs);
jacobian.setObservations(obs);
minimizer.setFunction(func,jacobian);
minimizer.initialize(param,0,convergenceTol*obs.size());
// iterate until it converges
for( int i = 0; i < maxIterations; i++ ) {
if( minimizer.iterate() )
break;
}
// decode the solution
motionCodec.decode(minimizer.getParameters(),refinedWorldToLeft);
return true;
}
}
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