Image panoramas are of importance for virtual navigation in remote or synthetic environments. To process these panoramas, different representations have been proposed; this paper presents a study of cubic panoramas. Standard projective geometry concepts are adapted to cubic panoramas to derive the notions of fundamental matrix, essential matrix and the equivalent of stereo rectification. Methods and results are presented which could be very helpful in obtaining solutions to disparity estimation, pose estimation and view interpolation problems in the context of cubic panoramas.