boofcv.alg.geo.triangulate.Triangulate2ViewReprojectionMetricError Maven / Gradle / Ivy
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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2018, 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 boofcv.alg.geo.PerspectiveOps;
import boofcv.struct.calib.CameraPinhole;
import georegression.struct.point.Point2D_F64;
import georegression.struct.point.Point3D_F64;
import georegression.struct.se.Se3_F64;
/**
* Computes reprojection error after triangulation for calibrated images
*
* @author Peter Abeles
*/
public class Triangulate2ViewReprojectionMetricError {
CameraPinhole intrinsicA;
CameraPinhole intrinsicB;
Point3D_F64 Xb = new Point3D_F64();
Point2D_F64 pixelN = new Point2D_F64();
Point2D_F64 pixelX = new Point2D_F64();
public void configure( CameraPinhole parametersA,
CameraPinhole parametersB )
{
this.intrinsicA = parametersA;
this.intrinsicB = parametersB;
}
/**
* Computes average squares error in pixel from both views.( ||a_i-x_i||^2 + ||b_i-x_i||^2 )/ 2
*
* @param a Normalized image coordinate observation in view A
* @param b Normalized image coordinate observation in view B
* @param a_to_b transform from view A to view B
* @param Xa 3D location in image A
*/
public double process(Point2D_F64 a , Point2D_F64 b , Se3_F64 a_to_b ,
Point3D_F64 Xa )
{
PerspectiveOps.convertNormToPixel(intrinsicA,a.x,a.y,pixelN);
PerspectiveOps.convertNormToPixel(intrinsicA,Xa.x/Xa.z, Xa.y/Xa.z,pixelX);
double error = pixelN.distance2(pixelX);
a_to_b.transform(Xa,Xb);
PerspectiveOps.convertNormToPixel(intrinsicB,b.x,b.y,pixelN);
PerspectiveOps.convertNormToPixel(intrinsicB,Xb.x/Xb.z, Xb.y/Xb.z,pixelX);
return (error + pixelN.distance2(pixelX))/2;
}
}
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