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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2021, 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.triangulate;
import georegression.struct.point.Point2D_F64;
import georegression.struct.point.Point3D_F64;
import georegression.struct.se.Se3_F64;
import georegression.transform.se.SePointOps_F64;
import org.ddogleg.optimization.functions.FunctionNtoM;
import java.util.List;
/**
* Basic error function for triangulation which only computes the residual between predicted and
* actual observed point location. Does not take in account the epipolar constraints.
*
* @author Peter Abeles
*/
@SuppressWarnings({"NullAway.Init"})
public class ResidualsTriangulateMetricSimple implements FunctionNtoM {
// observations of the same feature in normalized coordinates
private List observations;
// Known camera motion
private List motionGtoC;
private final Point3D_F64 point = new Point3D_F64();
private final Point3D_F64 transformed = new Point3D_F64();
/**
* Configures inputs.
*
* @param observations Observations of the feature at different locations. Normalized image coordinates.
* @param motionGtoC Camera motion from global to camera frame..
*/
public void setObservations( List observations, List motionGtoC ) {
if (observations.size() != motionGtoC.size())
throw new IllegalArgumentException("Different size lists");
this.observations = observations;
this.motionGtoC = motionGtoC;
}
@Override
public int getNumOfInputsN() {
return 3;
}
@Override
public int getNumOfOutputsM() {
return observations.size()*2;
}
@Override
public void process( double[] input, double[] output ) {
point.x = input[0];
point.y = input[1];
point.z = input[2];
int indexOut = 0;
for (int i = 0; i < observations.size(); i++) {
Point2D_F64 p = observations.get(i);
Se3_F64 m = motionGtoC.get(i);
SePointOps_F64.transform(m, point, transformed);
output[indexOut++] = transformed.x/transformed.z - p.x;
output[indexOut++] = transformed.y/transformed.z - p.y;
}
}
}
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