Commit e6420bde authored by Samson Yilma's avatar Samson Yilma

Added function decomposeHomographyMat. New files added are homography_decomp.cpp…

Added function decomposeHomographyMat. New files added are homography_decomp.cpp and test_homography_decomp.cpp.
Modified files calib3d.hpp and camera_calibration_and_3d_reconstruction.rst.
parent 32b25de5
......@@ -758,6 +758,27 @@ They are
:math:`[R_2, -t]`.
By decomposing ``E``, you can only get the direction of the translation, so the function returns unit ``t``.
decomposeHomographyMat
--------------------------
Decompose a homography matrix to rotation(s), translation(s) and plane normal(s).
.. ocv:function:: int decomposeHomographyMat( InputArray H, InputArray K, OutputArrayOfArrays rotations, OutputArrayOfArrays translations, OutputArrayOfArrays normals)
:param H: The input homography matrix.
:param K: The input intrinsic camera calibration matrix.
:param rotations: Array of rotation matrices.
:param translations: Array of translation matrices.
:param normals: Array of plane normal matrices.
This function extracts relative camera motion between two views observing a planar object from the homography ``H`` induced by the plane.
The intrinsic camera matrix ``K`` must also be provided. The function may return up to four mathematical solution sets. At least two of the
solutions may further be invalidated if point correspondences are available by applying positive depth constraint (all points must be in front of the camera).
The decomposition method is described in detail in [Malis]_.
recoverPose
---------------
......@@ -1512,3 +1533,5 @@ The function reconstructs 3-dimensional points (in homogeneous coordinates) by u
.. [Slabaugh] Slabaugh, G.G. Computing Euler angles from a rotation matrix. http://www.soi.city.ac.uk/~sbbh653/publications/euler.pdf (verified: 2013-04-15)
.. [Zhang2000] Z. Zhang. A Flexible New Technique for Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330-1334, 2000.
.. [Malis] Malis, E. and Vargas, M. Deeper understanding of the homography decomposition for vision-based control, Research Report 6303, INRIA (2007)
......@@ -314,6 +314,11 @@ CV_EXPORTS_W int estimateAffine3D(InputArray src, InputArray dst,
double ransacThreshold = 3, double confidence = 0.99);
CV_EXPORTS_W int decomposeHomographyMat(InputArray _H,
InputArray _K,
OutputArrayOfArrays _rotations,
OutputArrayOfArrays _translations,
OutputArrayOfArrays _normals);
class CV_EXPORTS_W StereoMatcher : public Algorithm
{
......
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// This is a test file for the function decomposeHomography contributed to OpenCV
// by Samson Yilma.
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2014, Samson Yilma¸ (samson_yilma@yahoo.com), all rights reserved.
//
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/calib3d.hpp"
#include <vector>
using namespace cv;
using namespace std;
class CV_HomographyDecompTest: public cvtest::BaseTest {
public:
CV_HomographyDecompTest()
{
buildTestDataSet();
}
protected:
void run(int)
{
vector<Mat> rotations;
vector<Mat> translations;
vector<Mat> normals;
decomposeHomographyMat(_H, _K, rotations, translations, normals);
//there should be at least 1 solution
ASSERT_GT(rotations.size(), 0);
ASSERT_GT(translations.size(), 0);
ASSERT_GT(normals.size(), 0);
ASSERT_EQ(rotations.size(), normals.size());
ASSERT_EQ(translations.size(), normals.size());
ASSERT_TRUE(containsValidMotion(rotations, translations, normals));
decomposeHomographyMat(_H, _K, rotations, noArray(), noArray());
ASSERT_GT(rotations.size(), 0);
}
private:
void buildTestDataSet()
{
_K = Matx33d(640, 0.0, 320,
0, 640, 240,
0, 0, 1);
_H = Matx33d(2.649157564634028, 4.583875997496426, 70.694447785121326,
-1.072756858861583, 3.533262150437228, 1513.656999614321649,
0.001303887589576, 0.003042206876298, 1.000000000000000
);
//expected solution for the given homography and intrinsic matrices
_R = Matx33d(0.43307983549125, 0.545749113549648, -0.717356090899523,
-0.85630229674426, 0.497582023798831, -0.138414255706431,
0.281404038139784, 0.67421809131173, 0.682818960388909);
_t = Vec3d(1.826751712278038, 1.264718492450820, 0.195080809998819);
_n = Vec3d(0.244875830334816, 0.480857890778889, 0.841909446789566);
}
bool containsValidMotion(std::vector<Mat>& rotations,
std::vector<Mat>& translations,
std::vector<Mat>& normals
)
{
double max_error = 1.0e-3;
vector<Mat>::iterator riter = rotations.begin();
vector<Mat>::iterator titer = translations.begin();
vector<Mat>::iterator niter = normals.begin();
for (;
riter != rotations.end() && titer != translations.end() && niter != normals.end();
++riter, ++titer, ++niter) {
double rdist = norm(*riter, _R, NORM_INF);
double tdist = norm(*titer, _t, NORM_INF);
double ndist = norm(*niter, _n, NORM_INF);
if ( rdist < max_error
&& tdist < max_error
&& ndist < max_error )
return true;
}
return false;
}
Matx33d _R, _K, _H;
Vec3d _t, _n;
};
TEST(Calib3d_DecomposeHomography, regression) { CV_HomographyDecompTest test; test.safe_run(); }
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