/*
* Copyright (c) 2011-2015, 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.calibration;
import boofcv.alg.geo.h.HomographyLinear4;
import boofcv.struct.geo.AssociatedPair;
import georegression.struct.point.Point2D_F64;
import org.ejml.data.DenseMatrix64F;
import java.util.ArrayList;
import java.util.List;
/**
*
* Given a description of the calibration grid and a set of observations compute the associated Homography.
* First a linear approximation is computed follow by non-linear refinement. Part of calibration process
* described in [1].
*
*
*
* [1] Zhengyou Zhang, "Flexible Camera Calibration By Viewing a Plane From Unknown Orientations,",
* International Conference on Computer Vision (ICCV'99), Corfu, Greece, pages 666-673, September 1999.99
*
*
* @author Peter Abeles
*/
public class Zhang99ComputeTargetHomography {
HomographyLinear4 linear = new HomographyLinear4(true);
DenseMatrix64F found = new DenseMatrix64F(3,3);
// location of calibration points in the target frame's in world units.
// the z-axis is assumed to be zero
List worldPoints;
public Zhang99ComputeTargetHomography( List worldPoints ) {
this.worldPoints = worldPoints;
}
/**
* Computes the homography from a list of detected grid points in the image. The
* order of the grid points is important and must follow the expected row major
* starting at the top left.
*
* @param observedPoints List of ordered detected grid points in image pixels.
* @return True if it computed a Homography and false if it failed to compute a homography matrix.
*/
public boolean computeHomography( CalibrationObservation observedPoints )
{
if( observedPoints.size() < 4)
throw new IllegalArgumentException("At least 4 points needed in each set of observations. " +
" Filter these first please");
List pairs = new ArrayList();
for( int i = 0; i < observedPoints.size(); i++ ) {
int which = observedPoints.get(i).index;
Point2D_F64 obs = observedPoints.get(i).pixel;
pairs.add( new AssociatedPair(worldPoints.get(which),obs,true));
}
if( !linear.process(pairs,found) )
return false;
// todo do non-linear refinement. Take advantage of coordinates being fixed
return true;
}
/**
* Returns a copy of the found homography matrix.
* @return Homography matrix.
*/
public DenseMatrix64F getHomography() {
return found.copy();
}
}
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