Matrix from direction and orientation
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I'm not too good at matrices and I've been pouring over a piece of paper trying to work out how to do this to no avail...
Basically I have 2 normalised perpendicular vectors, a direction vector and an orientation vector (pointing "downward"). I need a rotation matrix to rotate a cube so its facing the right direction and is the right way up. I'm pretty sure its simple if you know how, can anyone gimme any hints?
Additionally, the vectors are always simply of the form (0,1,0), (1,0,0), (-1,0,0), etc, in case that makes it easier.
you cant define an orientation in 3d with just a vector, use either a 3x3 matrix, euler angles or quaternions.
a homogenous transformation matrix will be a 4x4 matrix with the top left 3x3 being the rotation the 4th column being the translation.
there is lots of material out there to detail exactly how to do it.
a homogenous transformation matrix will be a 4x4 matrix with the top left 3x3 being the rotation the 4th column being the translation.
there is lots of material out there to detail exactly how to do it.
The only thing you miss is a "right"-vector. To get it, cross "dir" with "up".
The matrix is
if you use row-vectors. Transpose it otherwise.
The matrix is
right_x right_y right_zup_x up_y up_zdir_x dir_y dir_zif you use row-vectors. Transpose it otherwise.
Quote:Original post by jonnii
you cant define an orientation in 3d with just a vector, use either a 3x3 matrix, euler angles or quaternions.
a homogenous transformation matrix will be a 4x4 matrix with the top left 3x3 being the rotation the 4th column being the translation.
there is lots of material out there to detail exactly how to do it.
read the OP. he has more than one vector.
if you have two peripendicular vectors, constructing a matrix out of them is a joke.
do a crossproduct between these two vectors to obtain a third othonormal vector.
these three vectors are the three column vectors of the matrix you want. just place these vectors in the collumns of a matrix, and there you go. you might need to transpose the matrix depending on how the rest of your code is working, just try it.
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