We present two estimation methods for camera rotation from two images obtai
ned by the active camera before and after rotation. Based on the representa
tion of the projected rotation group, quasi moment features are constructed
. Camera rotation can be estimated by applying the singular value decomposi
tion (SVD) or Newton's method to tensor quasi moment features. In both case
s, we can estimate 3D rotation of the active camera from only two projected
images. We also give some experiments for the estimation of the actual act
ive camera rotation to show the effectiveness of these methods.