SVD decomposition when using rotation and scaling pivots?

[Michiel]

Translation is the only transformation that uses the fourth column. I don't think you need to think in terms of pivot points. That's all been done already. If you've got M and two of I,J,K, you can find the translation-matrix easily.

If wikipedia isn't enough, I can't really help you further. You might try google, but you've probably already tried that.

Good luck!

[pir]

If I don't use the pivots points after the SVD, then I loose controll of their functionality. I also need to think of this when I set up the local space after SVD. Because it would be done twice. But it doesn't matter. I have thought about it, and I'm pretty sure that the pivot point information does not concern the SVD step. That is stored in the translation column. I just think it's strange that I can't find any websites that doing this.

Thanks for your help.

Is there any one else who knows a tutorial or paper about this?
That is, how to use SVD when there are pivot points in the transformation matrix?
( what I'm really after is the step that I think does not involve SVD, the translation )


pir