The estimation of the 2D relative motion of an indoor robot using monocular
vision is presented. The camera calibration is known, and its motion is li
mited to be planar. These constraints are included in the robust regression
of epipolar geometry from point matches. Motion is derived from the epipol
ar geometry. A sequence of 54 real images is used to test the algorithm. Ac
curate motion, both in rotation and translation angles of 0.4 and 1.7 deg,
is successfully derived.