Automatic three-dimensional modeling from reality
Daniel F. Huber, Martial Hebert · 2002
In this dissertation, we develop techniques to fully automate the process of constructing a digital, three-dimensional (3D) model from a set of 3D views of a static scene obtained from unknown viewpoints. Since 3D sensors only capture the scene structure as seen from a single viewpoint, multiple views must be combined to create a complete model. Current modeling methods are limited in that they require measurement of the sensor viewpoints or manual registration of the views. We have developed an alternative approach that fully automates the modeling process without without any knowledge the sensor viewpoints and without manual intervention.