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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2019, 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.alg.geo.RodriguesRotationJacobian_F64;
import boofcv.struct.sfm.Stereo2D3D;
import georegression.geometry.ConvertRotation3D_F64;
import georegression.struct.point.Point3D_F64;
import georegression.struct.se.Se3_F64;
import georegression.struct.so.Rodrigues_F64;
import georegression.transform.se.SePointOps_F64;
import org.ddogleg.optimization.functions.FunctionNtoMxN;
import org.ejml.data.DMatrixRMaj;
import org.ejml.dense.row.CommonOps_DDRM;
import java.util.List;
/**
* Computes the Jacobian of the error function in {@link boofcv.alg.geo.pose.PnPResidualReprojection}. For a calibrated
* camera given observations in normalized image coordinates. The rotation matrix is assumed to be
* parameterized using {@link georegression.struct.so.Rodrigues_F64} coordinates.
*
* @author Peter Abeles
*/
// TODO Make PnPJacobianRodrigues and this class share a common parent for common functions?
public class PnPStereoJacobianRodrigues implements FunctionNtoMxN {
// transformation from world to left camera frame
private Se3_F64 worldToLeft = new Se3_F64();
// known transform from left to right camera frame
private Se3_F64 leftToRight;
private List observations;
// used to compute the Jacobian from Rodrigues coordinates
private RodriguesRotationJacobian_F64 rodJacobian = new RodriguesRotationJacobian_F64();
// local variable which stores the predicted location of the feature in the camera frame
private Rodrigues_F64 rodrigues = new Rodrigues_F64();
// 3D location of point in camera frame
private Point3D_F64 cameraPt = new Point3D_F64();
// output array
private double[] output;
// index for x component
private int indexX;
private int indexY;
// storage for intermediate results
private DMatrixRMaj rotR = new DMatrixRMaj(3,3);
public void setObservations(List observations) {
this.observations = observations;
}
public void setLeftToRight(Se3_F64 leftToRight) {
this.leftToRight = leftToRight;
}
@Override
public int getNumOfInputsN() {
return 6;
}
@Override
public int getNumOfOutputsM() {
return observations.size()*4;
}
@Override
public void process(double[] input, DMatrixRMaj J) {
this.output = J.data;
// initialize data structures
rodrigues.setParamVector(input[0],input[1],input[2]);
rodJacobian.process(input[0], input[1], input[2]);
worldToLeft.T.x = input[3];
worldToLeft.T.y = input[4];
worldToLeft.T.z = input[5];
ConvertRotation3D_F64.rodriguesToMatrix(rodrigues, worldToLeft.getR());
// compute the gradient for each observation
for( int i = 0; i < observations.size(); i++ ) {
Stereo2D3D o = observations.get(i);
// --------- Left camera observations
SePointOps_F64.transform(worldToLeft,o.location, cameraPt);
indexX = 4*6*i;
indexY = indexX + 6;
// add gradient from rotation
addRodriguesJacobian(rodJacobian.Rx,o.location,cameraPt);
addRodriguesJacobian(rodJacobian.Ry,o.location,cameraPt);
addRodriguesJacobian(rodJacobian.Rz,o.location,cameraPt);
// add gradient from translation
addTranslationJacobian(cameraPt);
// --------- Right camera observations
SePointOps_F64.transform(leftToRight,cameraPt, cameraPt);
indexX = indexY;
indexY = indexY + 6;
CommonOps_DDRM.mult(leftToRight.getR(), rodJacobian.Rx, rotR);
addRodriguesJacobian(rotR,o.location,cameraPt);
CommonOps_DDRM.mult(leftToRight.getR(), rodJacobian.Ry, rotR);
addRodriguesJacobian(rotR,o.location,cameraPt);
CommonOps_DDRM.mult(leftToRight.getR(), rodJacobian.Rz, rotR);
addRodriguesJacobian(rotR,o.location,cameraPt);
addTranslationJacobian(leftToRight.getR(),cameraPt);
}
}
@Override
public DMatrixRMaj declareMatrixMxN() {
return new DMatrixRMaj(getNumOfOutputsM(),getNumOfInputsN());
}
/**
* Adds to the Jacobian matrix using the derivative from a Rodrigues parameter.
*
* deriv [x,y] = -dot(z)/(z^2)*(R*X+T) + (1/z)*dot(R)*X
*
* where R is rotation matrix, T is translation, z = z-coordinate of point in camera frame
*
* @param Rj Jacobian for Rodrigues
* @param worldPt Location of point in world coordinates
* @param cameraPt Location of point in camera coordinates
*/
private void addRodriguesJacobian( DMatrixRMaj Rj , Point3D_F64 worldPt , Point3D_F64 cameraPt )
{
// (1/z)*dot(R)*X
double Rx = (Rj.data[0]*worldPt.x + Rj.data[1]*worldPt.y + Rj.data[2]*worldPt.z)/cameraPt.z;
double Ry = (Rj.data[3]*worldPt.x + Rj.data[4]*worldPt.y + Rj.data[5]*worldPt.z)/cameraPt.z;
// dot(z)/(z^2)
double zDot_div_z2 = (Rj.data[6]*worldPt.x + Rj.data[7]*worldPt.y + Rj.data[8]*worldPt.z)/
(cameraPt.z*cameraPt.z);
output[indexX++] = -zDot_div_z2*cameraPt.x + Rx;
output[indexY++] = -zDot_div_z2*cameraPt.y + Ry;
}
/**
* Derivative for translation element
*
* deriv [x,y] = -dot(z)*T/(z^2) + dot(T)/z
*
* where T is translation, z = z-coordinate of point in camera frame
*/
private void addTranslationJacobian( Point3D_F64 cameraPt )
{
double divZ = 1.0/cameraPt.z;
double divZ2 = 1.0/(cameraPt.z*cameraPt.z);
// partial T.x
output[indexX++] = divZ;
output[indexY++] = 0;
// partial T.y
output[indexX++] = 0;
output[indexY++] = divZ;
// partial T.z
output[indexX++] = -cameraPt.x*divZ2;
output[indexY++] = -cameraPt.y*divZ2;
}
/**
* The translation vector is now multiplied by 3x3 matrix R. The components of T are no longer decoupled.
*
* deriv [x,y] = R*dot(T)/z - (dot(z)/(z^2))(R*T)
*
* @param R
* @param cameraPt
*/
private void addTranslationJacobian( DMatrixRMaj R ,
Point3D_F64 cameraPt )
{
double z = cameraPt.z;
double z2 = z*z;
// partial T.x
output[indexX++] = R.get(0,0)/cameraPt.z - R.get(2,0)/z2*cameraPt.x;
output[indexY++] = R.get(1,0)/cameraPt.z - R.get(2,0)/z2*cameraPt.y;
// partial T.y
output[indexX++] = R.get(0,1)/cameraPt.z - R.get(2,1)/z2*cameraPt.x;
output[indexY++] = R.get(1,1)/cameraPt.z - R.get(2,1)/z2*cameraPt.y;
// partial T.z
output[indexX++] = R.get(0,2)/cameraPt.z - R.get(2,2)/z2*cameraPt.x;
output[indexY++] = R.get(1,2)/cameraPt.z - R.get(2,2)/z2*cameraPt.y;
}
}