An algorithm is presented for 3-D reconstruction from optical flow observed by an uncalibrated camera. We show that by incorporating a statistical model of image noise, we can not only compute a statistically optimal shape but also evaluateits reliability in quantitative terms. We show real-image experimentsand discuss the effect of the "gauge" on the uncertainty description.