The goal of this project is to automatically construct detailed 3D models of objects given multiple views. In one family of approaches developed in this project, the aim has been to reconstruct a 3D polygonal mesh model and color texture map from multiple views of an object. Efforts have also focused on the problem of estimating an object's 3D motion field (scene flow) from multiple video streams. These methods explicitly account for uncertainties of the measurements as they affect the accuracy of the recovered model. Some (often minor) uncertainty is due to sensor noise. Other uncertainty is due to surface geometry and camera projection: the structure of the local image contrast pattern affects the reliability of 3D motion or depth estimates, and must be accounted for. In addition, the number of image samples per unit 3D surface area varies depending on the viewpoint, sensor resolution, and surface orientation. In some cases, deformations of the surface must be accounted for during a motion sequence.