The wheel effect (also called the Wagon-wheel effect) is a well-known rotation illusion in which a rotating wheel, when
displayed as individual frames, appears to rotate differently from its true rotation due to temporal aliasing. In this paper,
we propose several approaches to solve this problem for synthetic imagery in computer animation. First, we develop an
algorithm to compute the frame number at which our visual perception starts to incorrectly interpret the wheel rotation.
By making this critical frame number available, we can correct the wheel rotation by manipulating its geometry while
viewers are unaware of the change. Our second approach is developed based on the Nyquist sampling theorem. We can
increase the sample rate to capture the essential deviation that correctly depicts the wheel rotation to take care of the
under-sampling issue. Our third approach is based on the traditional view that texture is often used to aid our motion
perception. We further identity certain rules that can be applied to the textures to distinguish the real motion from the
illusion. For each approach, we analyze both the advantages and disadvantages and suggest the potential applications.