Lecture 4: Transforms (51)
matthewlee626

The rotation matrices we've seen in previous slides can get pretty complex! I read online that quaternions are more effective in representing rotations because they only require 4 numbers to represent a rotation (vs the 3x3 = 9 numbers in these matrix transformations). Are quaternions thus more often used in practical software?

You must be enrolled in the course to comment