1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153
|
#define _GNU_SOURCE
#include <math.h>
#include <float.h>
#include "poseutils.h"
#include "strides.h"
// The implementation of mrcal_R_from_r is based on opencv.
// The sources have been heavily modified, but the opencv logic remains.
//
// from opencv-4.1.2+dfsg/modules/calib3d/src/calibration.cpp
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., 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
void mrcal_R_from_r_full( // outputs
double* R, // (3,3) array
int R_stride0, // in bytes. <= 0 means "contiguous"
int R_stride1, // in bytes. <= 0 means "contiguous"
double* J, // (3,3,3) array. Gradient. May be NULL
int J_stride0, // in bytes. <= 0 means "contiguous"
int J_stride1, // in bytes. <= 0 means "contiguous"
int J_stride2, // in bytes. <= 0 means "contiguous"
// input
const double* r, // (3,) vector
int r_stride0 // in bytes. <= 0 means "contiguous"
)
{
init_stride_2D(R, 3,3);
init_stride_3D(J, 3,3,3 );
init_stride_1D(r, 3 );
double norm2r = 0.0;
for(int i=0; i<3; i++)
norm2r += P1(r,i)*P1(r,i);
if( norm2r < DBL_EPSILON*DBL_EPSILON )
{
mrcal_identity_R_full(R, R_stride0, R_stride1);
if( J )
{
for(int i=0; i<3; i++)
for(int j=0; j<3; j++)
for(int k=0; k<3; k++)
P3(J,i,j,k) = 0.;
P3(J,1,2,0) = -1.;
P3(J,2,0,1) = -1.;
P3(J,0,1,2) = -1.;
P3(J,2,1,0) = 1.;
P3(J,0,2,1) = 1.;
P3(J,1,0,2) = 1.;
}
return;
}
double theta = sqrt(norm2r);
double c,s;
sincos(theta, &s, &c);
double c1 = 1. - c;
double itheta = 1./theta;
double r_unit[3];
for(int i=0; i<3; i++)
r_unit[i] = P1(r,i) * itheta;
// R = cos(theta)*I + (1 - cos(theta))*r*rT + sin(theta)*[r_x]
P2(R, 0,0) = c + c1*r_unit[0]*r_unit[0];
P2(R, 0,1) = c1*r_unit[0]*r_unit[1] - s*r_unit[2];
P2(R, 0,2) = c1*r_unit[0]*r_unit[2] + s*r_unit[1];
P2(R, 1,0) = c1*r_unit[0]*r_unit[1] + s*r_unit[2];
P2(R, 1,1) = c + c1*r_unit[1]*r_unit[1];
P2(R, 1,2) = c1*r_unit[1]*r_unit[2] - s*r_unit[0];
P2(R, 2,0) = c1*r_unit[0]*r_unit[2] - s*r_unit[1];
P2(R, 2,1) = c1*r_unit[1]*r_unit[2] + s*r_unit[0];
P2(R, 2,2) = c + c1*r_unit[2]*r_unit[2];
if( J )
{
// opencv had some logic with lots of 0s. I unrolled all of the
// loops, and removed all the resulting 0 terms
double a0, a1, a3;
double a2 = itheta * c1;
double a4 = itheta * s;
a0 = -s *r_unit[0];
a1 = (s - 2*a2)*r_unit[0];
a3 = (c - a4)*r_unit[0];
P3(J,0,0,0) = a0 + a1*r_unit[0]*r_unit[0] + a2*(r_unit[0]+r_unit[0]);
P3(J,0,1,0) = a1*r_unit[0]*r_unit[1] + a2*r_unit[1] - a3*r_unit[2];
P3(J,0,2,0) = a1*r_unit[0]*r_unit[2] + a2*r_unit[2] + a3*r_unit[1];
P3(J,1,0,0) = a1*r_unit[0]*r_unit[1] + a2*r_unit[1] + a3*r_unit[2];
P3(J,1,1,0) = a0 + a1*r_unit[1]*r_unit[1];
P3(J,1,2,0) = a1*r_unit[1]*r_unit[2] - a3*r_unit[0] - a4;
P3(J,2,0,0) = a1*r_unit[0]*r_unit[2] + a2*r_unit[2] - a3*r_unit[1];
P3(J,2,1,0) = a1*r_unit[1]*r_unit[2] + a3*r_unit[0] + a4;
P3(J,2,2,0) = a0 + a1*r_unit[2]*r_unit[2];
a0 = -s *r_unit[1];
a1 = (s - 2*a2)*r_unit[1];
a3 = (c - a4)*r_unit[1];
P3(J,0,0,1) = a0 + a1*r_unit[0]*r_unit[0];
P3(J,0,1,1) = a1*r_unit[0]*r_unit[1] + a2*r_unit[0] - a3*r_unit[2];
P3(J,0,2,1) = a1*r_unit[0]*r_unit[2] + a3*r_unit[1] + a4;
P3(J,1,0,1) = a1*r_unit[0]*r_unit[1] + a2*r_unit[0] + a3*r_unit[2];
P3(J,1,1,1) = a0 + a1*r_unit[1]*r_unit[1] + a2*(r_unit[1]+r_unit[1]);
P3(J,1,2,1) = a1*r_unit[1]*r_unit[2] + a2*r_unit[2] - a3*r_unit[0];
P3(J,2,0,1) = a1*r_unit[0]*r_unit[2] - a3*r_unit[1] - a4;
P3(J,2,1,1) = a1*r_unit[1]*r_unit[2] + a2*r_unit[2] + a3*r_unit[0];
P3(J,2,2,1) = a0 + a1*r_unit[2]*r_unit[2];
a0 = -s *r_unit[2];
a1 = (s - 2*a2)*r_unit[2];
a3 = (c - a4)*r_unit[2];
P3(J,0,0,2) = a0 + a1*r_unit[0]*r_unit[0];
P3(J,0,1,2) = a1*r_unit[0]*r_unit[1] - a3*r_unit[2] - a4;
P3(J,0,2,2) = a1*r_unit[0]*r_unit[2] + a2*r_unit[0] + a3*r_unit[1];
P3(J,1,0,2) = a1*r_unit[0]*r_unit[1] + a3*r_unit[2] + a4;
P3(J,1,1,2) = a0 + a1*r_unit[1]*r_unit[1];
P3(J,1,2,2) = a1*r_unit[1]*r_unit[2] + a2*r_unit[1] - a3*r_unit[0];
P3(J,2,0,2) = a1*r_unit[0]*r_unit[2] + a2*r_unit[0] - a3*r_unit[1];
P3(J,2,1,2) = a1*r_unit[1]*r_unit[2] + a2*r_unit[1] + a3*r_unit[0];
P3(J,2,2,2) = a0 + a1*r_unit[2]*r_unit[2] + a2*(r_unit[2]+r_unit[2]);
}
}
|