Here is the situation. I have 2 sensors, which provides $3*3$ rotation matrix. And as these sensors are combined in unknown but fixed structure, I can say there is 2 coordinate system. In other words, 2 sensors are moving together simultaneously, but with gap between them.
Then, each sensor would show rotation matrix like,
$S_1 = \begin{bmatrix} \mathbf{R}_1 & \mathbf{0}\\ \mathbf{0} & 1\\ \end{bmatrix}$, $S_2 = \begin{bmatrix} \mathbf{R}_2 & \mathbf{0}\\ \mathbf{0} & 1\\ \end{bmatrix}$
Additionally(Sadly), I attached this package of sensors onto a tripod and rotated again, which would result in unknown(as tripod cannot give you a rotation matrix unlike sensors) 3rd rotation coordinate.
$S_3 = \begin{bmatrix} \mathbf{R}_3 & \mathbf{0}\\ \mathbf{0} & 1\\ \end{bmatrix}$
My fundamental goal is to find out the transformation matrix($T$) satisfying below, which explains how each sensor is combined geometrically.
$S_1=T * S_2$
At the first time, I thought I could easily retrieve $T$ by positioning the sensor package in several random position using tripod, but it was wrong idea because the positioning tool, the tripod, also had another coordinate system.
How would you approach to this problem to get matrix $T$?
(A translation may have to engaged but I'd like to consider it later XD)