Reconstruction of structure and texture of planar environments by dynamic vision techniques

This work is concerned with the estimate of structure and texture of buildings from a video sequence. The goal includes the recovery of metric information. The results could be conceivably used for many purposes ranging from photogram-metric applications to CAD models that could be applied, for example, for virtual visits of sites of artistic and historical significance. We present an original algorithm to estimate both structure and texture of environments composed by planes like the interiors of most buildings. From a video sequence of a decorated wall the algorithm computes a plane that approximates the wall (structure estimation) and composes a mosaic of the single images to reproduce the decoration (texture estimation). The data are organized so that it is possible to observe the wall from an arbitrary point of view.