High-resolution Stereo for the Detection of Buildings
Marc-Antoine Berthod, Laurent Gabet, Gérard Giraudon, Jean-Luc Lotti · Birkhäuser Basel eBooks · 1995
After a brief overview of the research going on in the Pastis group at Inria, which covers retrieving depth and recovering symbolic information from remotely sensed data, we concentrate in this paper on a particularly difficult task, high-resolution stereo , which deals with images with a resolution of one meter or less, on which there are smooth textured natural areas as well as discontinuities, or even occultations, of man-made structures. Two approaches are proposed for extracting reliable dense depth maps: one relies on the use of several aerial images, with increasing disparities, and the other on an adaptive window correlation scheme, which prevents the correlation window to extend over radiometric, and thus depth discontinuities. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.