[Numpy-discussion] Quaternion dtype for NumPy - initial implementation available
Robert Love
rblove_lists at comcast.net
Thu Jul 28 22:48:29 EDT 2011
On Jul 28, 2011, at 7:42 AM, Martin Ling wrote:
> On Wed, Jul 27, 2011 at 10:29:08PM -0500, Robert Love wrote:
>>
>> To use quaternions I find I often need conversion to/from matrices and
>> to/from Euler angles. Will you add that functionality?
>
> Yes, I intend to. Note that these conversions are already available in
> the standalone (non-dtype) implementation in imusim.maths.quaternions:
>
> http://www.imusim.org/docs/api/imusim.maths.quaternions.Quaternion-class.html#setFromEuler
> http://www.imusim.org/docs/api/imusim.maths.quaternions.Quaternion-class.html#toEuler
> http://www.imusim.org/docs/api/imusim.maths.quaternions.Quaternion-class.html#setFromMatrix
> http://www.imusim.org/docs/api/imusim.maths.quaternions.Quaternion-class.html#toMatrix
>
> I should do a new release though - the Euler methods there only support
> ZYX and ZXY order conversions, my development version supports any order.
>
>> Will you handle the left versor and right versor versions?
>
> I don't know what this means. Please enlighten me and I'll be happy to
> try! I thought a 'right versor' was a unit quaternion representing an
> angle of 90 degrees (as in 'right angle') - I don't see what a 'left'
> one would be.
>
Quaternions have a "handedness" or a sign convention. The recently departed Space Shuttle used a Left versor convention while most things, including Space Station, use the right versor convention, in their flight software. Made for frequent confusion.
Let me see if I can illustrate by showing the functions I use for converting a matrix to a quaternion.
def Quaternion_Of(m):
"""
Returns a quaternion in the right versor sense.
"""
q = N.zeros(4,float)
q[0] = 0.5*sqrt(1.0 + m[0,0] + m[1,1] + m[2,2])
q04_inv = 1.0/(4.0*q[0])
q[1] = (m[1,2] - m[2,1])*q04_inv
q[2] = (m[2,0] - m[0,2])*q04_inv
q[3] = (m[0,1] - m[1,0])*q04_inv
return q
def Quaternion_Of(m):
"""
Returns a quaternion in the left versor sense.
"""
q = N.zeros(4,float)
q[0] = 0.5*sqrt(1.0 + m[0,0] + m[1,1] + m[2,2])
q04_inv = 1.0/(4.0*q[0])
q[1] = (m[2,1] - m[1,2])*q04_inv
q[2] = (m[0,2] - m[2,0])*q04_inv
q[3] = (m[1,0] - m[0,1])*q04_inv
return q
Or transforming a vector using the different conventions.
def Transform(q,v):
"""
Returns the vector part of q*vq which transforms v from one
coordinate system to another. Right Versor
"""
u = Q.Vector_Part(q)
return 2.0*(q[0]*N.cross(v,u) +
N.dot(v,u)*u +
(q[0]*q[0] - 0.5)*v)
def Transform(q,v):
"""
Returns the vector part of q*vq which transforms v from one
coordinate system to another. Left Versor
"""
u = Q.Vector_Part(q)
return 2.0*(q[0]*N.cross(u,v) +
N.dot(u,v)*u +
(q[0]*q[0] - 0.5)*v)
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