From moore@svax.cs.cornell.edu Wed Feb 1 16:07:38 1989
Path: leah!rpi!batcomputer!cornell!moore
From: moore@svax.cs.cornell.edu (Doug Moore)
Newsgroups: comp.graphics
Subject: Re: 3D Rotations/Instancing
Message-ID: <24681@cornell.UUCP>
Date: 1 Feb 89 21:07:38 GMT
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Reply-To: moore@svax.cs.cornell.edu (Doug Moore)
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Organization: Cornell Univ. CS Dept, Ithaca NY
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Since no one else has mentioned this, I guess I will. Why not use quaternions,
rather than rotation matrices, to represent your rotations? Quaternions on
the unit sphere and 3-d rotations are isomorphic, and quaternions don't require
the redundant storage and calculation that 3x3 matrices do.
A quaternion may be thought of as an entity of the form ~~, where s is a
scalar and x is a 3-vector. Multiplication of quaternions is given by
* = .
A unit quaternion is one that satisfies s*s + x dot x = 1. A unit quaternion
may also be thought of as a rotation of angle 2 arccos s about the axis v. To
rotate a vector v by a rotation quaternion q to get a vector w, use the
formula <0,w> = inv(q) * <0,v> * q, where inv(q) * q = <1,0>, and inv(~~~~)
= ~~~~. Or, if you prefer, form the equivalent rotation matrix
1 - 2 (x2*x2 + x3*x3) 2 (x1*x2 + s * x3) 2 (x1*x3 - s*x2)
2 (x1*x2 - s*x3) 1 - 2 (x1*x1 + x3*x3) 2 (x2*x3 + s*x1)
2 (x1*x3 + s*x2) 2 (x2*x3 - s*x1) 1 - 2 (x1*x1 + x2*x2)
and use that.
The basic algorithm, then, to display vectors V =
rotating by q every frame is
rot = <1,0>
do-forever
R = rotation matrix associated with rot
DISP = R * V
display all vectors in DISP
rot = rot * q
norm = rot.s * rot.s + rot.x1 * rot.x1 + rot.x2 * rot.x2 + rot.x3 * rot.x3
if (abs(norm - 1) > tolerance)
norm = sqrt(norm)
rot.s = rot.s/norm
rot.x1 = rot.x1/norm
rot.x2 = rot.x2/norm
rot.x3 = rot.x3/norm
endif
enddo
That's the general idea, anyway. For a less terse exposition, see
Ken Shoemake, "Animating Rotation with Quaternion Curves", COMPUTER GRAPHICS
Vol 19 No 3, pp. 245-254.
Incidentally, similar quaternion techniques can be used for 4-d rotations.
I haven't been able to get a handle on higher dimensions, though.
Doug Moore (moore@svax.cs.cornell.edu)
~~