The problem of depth-from-motion using a monocular image sequence is consid
ered. A pixel-based model is developed for direct depth estimation within a
Kalman filtering framework. A method is proposed for incorporating local s
urface structure into the Kalman filter. Experimental results are provided
to illustrate the effect of structural information on depth estimation.