/*
* 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.robust;
import boofcv.alg.geo.NormalizedToPixelError;
import boofcv.struct.geo.AssociatedPair;
import georegression.struct.homography.Homography2D_F64;
import georegression.struct.point.Point2D_F64;
import georegression.transform.homography.HomographyPointOps_F64;
import org.ddogleg.fitting.modelset.DistanceFromModel;
import java.util.List;
/**
*
* Computes the Euclidean error squared between 'p1' and 'p2' after projecting 'p1' into image 2. Input
* points must be in normalized image coordinates, but the output error will be in pixel coordinates.
*
*
* @author Peter Abeles
*/
public class DistanceHomographyPixelSq implements DistanceFromModel {
Homography2D_F64 model;
Point2D_F64 expected = new Point2D_F64();
NormalizedToPixelError errorCam2 = new NormalizedToPixelError();
/**
* Specifies intrinsic parameters for camera 2.
*
* @param cam2_fx intrinsic parameter: focal length x for camera 2
* @param cam2_fy intrinsic parameter: focal length y for camera 2
* @param cam2_skew intrinsic parameter: skew for camera 2 (usually zero)
*/
public void setIntrinsic(double cam2_fx, double cam2_fy , double cam2_skew) {
errorCam2.set(cam2_fx,cam2_fy, cam2_skew);
}
@Override
public void setModel(Homography2D_F64 model ) {
this.model = model;
}
@Override
public double computeDistance(AssociatedPair pt) {
HomographyPointOps_F64.transform(model, pt.p1, expected);
return errorCam2.errorSq(expected,pt.p2);
}
@Override
public void computeDistance(List points, double[] distance) {
for( int i = 0; i < points.size(); i++ ) {
AssociatedPair p = points.get(i);
HomographyPointOps_F64.transform(model, p.p1, expected);
distance[i] = errorCam2.errorSq(expected,p.p2);
}
}
}
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