Video - to - 3 D

In this contribution we intend to present a complete system that takes a video sequence of a static scene as input and generates visual 3D model. The system can deal with images acquired by an uncalibrated hand-held camera, with intrinsic camera parameters possibly varying during the acquisition. In a first stage features are extracted and tracked throughout the sequence. Using robust statistics and multiple view relations the 3D structure of the observed features and the camera motion and calibration are computed. In a second stage stereo matching is used to obtain a detailed estimate of the geometry of the observed scene. The presented approach integrates state-of-the-art algorithms developed in computer vision, computer graphics and photogrammetry. The resulting models are suited for both measurement and visualization purposes.