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so3.py
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# BSD 3-Clause License
#
# Copyright (c) 2017, Carl Chatfield
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions 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.
#
# * Neither the name of the copyright holder nor the names of its
# contributors may 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 COPYRIGHT HOLDER 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.
import sympy as sy
from common import skew, norm3, dodgy_subs
import common
def exp(w):
s = skew(w)
theta = norm3(w)
if len(theta.free_symbols) == 0 and theta.evalf() < 1e-9:
A = 1
B = 1/2
else:
A = sy.sin(theta) / theta
B = (1 - sy.cos(theta)) / theta ** 2
return sy.eye(3) + A*s + B*s*s
def log(R):
RRT = (R - R.T) / 2
theta = sy.acos((R.trace() - 1) / 2)
if len(theta.free_symbols) == 0 and theta.evalf() < 1e-9:
logR = RRT
else:
logR = theta / sy.sin(theta) * RRT
alpha = logR[2,1]
beta = logR[0,2]
gamma = logR[1,0]
return sy.Matrix([[alpha],[beta],[gamma]])
def dw_dw(w):
s = skew(w)
theta = norm3(w)
A = -1/2
B = 1/theta**2 - (1 + sy.cos(theta))/(2*theta*sy.sin(theta))
return sy.eye(3) + A*s + B*s*s
def dba_da(wa, wb):
return -dba_db(wa, wb)
def dba_db(wa, wb):
A = exp(-wa)
B = exp(wb)
AB = A * B
theta = sy.acos((AB.trace() - 1) / 2)
s1 = (sy.sin(theta) - theta * sy.cos(theta)) / (2*sy.sin(theta) ** 2) * (AB - AB.T)
result = sy.zeros(3,3)
for i in range(3):
dx = sy.zeros(3,1)
dx[i] = 1.0
dAXB = A * skew(dx) * B
dtheta = -dAXB.trace() / (2*sy.sin(theta))
foo = A * exp(1e-6 * dx) * B
theta2 = sy.acos((foo.trace() - 1) / 2)
s2 = theta / (2*sy.sin(theta)) * (dAXB - dAXB.T)
dalpha = dtheta * s1[2,1] + s2[2,1]
dbeta = dtheta * s1[0,2] + s2[0,2]
dgamma = dtheta * s1[1,0] + s2[1,0]
result[0,i] = dalpha
result[1,i] = dbeta
result[2,i] = dgamma
return result