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Added rot_decode to decode rotation matrices and matrix_trace,
supporting function, and regression tests for both.
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42
affine.scad
42
affine.scad
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@ -467,6 +467,48 @@ function is_2d_transform(t) = // z-parameters are zero, except we allow t[2][
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// Function: rot_decode()
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// Usage:
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// [angle,axis,cp,translation] = rot_decode(rotation)
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// Description:
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// Given an input 3d rigid transformation operator (one composed of just rotations and translations)
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// represented as a 4x4 matrix, compute the rotation and translation parameters of the operator.
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// Returns a list of the four parameters, the angle, in the interval [0,180], the rotation axis
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// as a unit vector, a centerpoint for the rotation, and a translation. If you set `parms=rot_decode(rotation)`
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// then the transformation can be reconstructed from parms as `move(parms[3])*rot(a=parms[0],v=parms[1],cp=parms[2])`.
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// This decomposition makes it possible to perform interpolation. If you construct a transformation using `rot`
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// the decoding may flip the axis (if you gave an angle outside of [0,180]). The returned axis will be a unit vector,
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// and the centerpoint lies on the plane through the origin that is perpendicular to the axis. It may be different
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// than the centerpoint you used to construct the transformation.
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// Example:
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// rot_decode(rot(45)); // Returns [45,[0,0,1], [0,0,0], [0,0,0]]
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// rot_decode(rot(a=37, v=[1,2,3], cp=[4,3,-7]))); // Returns [37, [0.26, 0.53, 0.80], [4.8, 4.6, -4.6], [0,0,0]]
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// rot_decode(left(12)*xrot(-33)); // Returns [33, [-1,0,0], [0,0,0], [-12,0,0]]
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// rot_decode(translate([3,4,5])); // Returns [0, [0,0,1], [0,0,0], [3,4,5]]
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function rot_decode(M) =
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assert(is_matrix(M,4,4) && M[3]==[0,0,0,1], "Input matrix must be a 4x4 matrix representing a 3d transformation")
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let(R = submatrix(M,[0:2],[0:2]))
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assert(approx(det3(R),1) && approx(norm_fro(R * transpose(R)-ident(3)),0),"Input matrix is not a rotation")
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let(
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translation = [for(row=[0:2]) M[row][3]], // translation vector
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largest = max_index([R[0][0], R[1][1], R[2][2]]),
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axis_matrix = R + transpose(R) - (matrix_trace(R)-1)*ident(3), // Each row is on the rotational axis
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// Construct quaternion q = c * [x sin(theta/2), y sin(theta/2), z sin(theta/2), cos(theta/2)]
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q_im = axis_matrix[largest],
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q_re = R[(largest+2)%3][(largest+1)%3] - R[(largest+1)%3][(largest+2)%3],
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c_sin = norm(q_im), // c * sin(theta/2) for some c
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c_cos = abs(q_re) // c * cos(theta/2)
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)
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approx(c_sin,0) ? [0,[0,0,1],[0,0,0],translation] :
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let(
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angle = 2*atan2(c_sin, c_cos), // This is supposed to be more accurate than acos or asin
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axis = (q_re>=0 ? 1:-1)*q_im/c_sin,
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tproj = translation - (translation*axis)*axis, // Translation perpendicular to axis determines centerpoint
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cp = (tproj + cross(axis,tproj)*c_cos/c_sin)/2
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)
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[angle, axis, cp, (translation*axis)*axis];
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// vim: expandtab tabstop=4 shiftwidth=4 softtabstop=4 nowrap
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10
math.scad
10
math.scad
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@ -904,6 +904,16 @@ function norm_fro(A) =
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norm(flatten(A));
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// Function: matrix_trace()
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// Usage:
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// matrix_trace(M)
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// Description:
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// Computes the trace of a square matrix, the sum of the entries on the diagonal.
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function matrix_trace(M) =
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assert(is_matrix(M,square=true), "Input to trace must be a square matrix")
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[for(i=[0:1:len(M)-1])1] * [for(i=[0:1:len(M)-1]) M[i][i]];
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// Section: Comparisons and Logic
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// Function: all_zero()
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@ -252,5 +252,34 @@ module test_apply_list() {
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test_apply_list();
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module test_rot_decode() {
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Tlist = [
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rot(37),
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xrot(49),
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yrot(88),
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rot(37,v=[1,3,3]),
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rot(41,v=[2,-3,4]),
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rot(180),
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xrot(180),
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yrot(180),
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rot(180, v=[3,2,-5], cp=[3,5,18]),
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rot(0.1, v=[1,2,3]),
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rot(-47,v=[3,4,5],cp=[9,3,4]),
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rot(197,v=[13,4,5],cp=[9,-3,4]),
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move([3,4,5]),
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move([3,4,5]) * rot(a=56, v=[5,3,-3], cp=[2,3,4]),
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ident(4)
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];
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errlist = [for(T = Tlist)
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let(
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parm = rot_decode(T),
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restore = move(parm[3])*rot(a=parm[0],v=parm[1],cp=parm[2])
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)
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norm_fro(restore-T)];
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assert(max(errlist)<1e-13);
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}
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test_rot_decode();
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// vim: expandtab tabstop=4 shiftwidth=4 softtabstop=4 nowrap
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@ -550,6 +550,13 @@ module test_determinant() {
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test_determinant();
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module test_matrix_trace() {
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M = [ [6,4,-2,9], [1,-2,8,3], [1,5,7,6], [4,2,5,1] ];
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assert_equal(matrix_trace(M), 6-2+7+1);
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}
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test_matrix_trace();
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// Logic
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