A two-stage approach is discussed for reconstructing a dense digital elevation model DEM of the terrain from multiple pre-calibrated images taken by distinct cameras at di erent time under various illumination. First, the terrain DEM and orthoimage are obtained by independent voxel-based reconstruction of the terrain points using simple relations between the corresponding image gray values. As distinct from other approaches, possible occlusions and changing shadow layouts are taken into account implicitly by evaluating a con dence of every reconstructed terrain point. Then, the reconstructed DEM is re ned by excluding occlusions of more con dent points by less con dent ones and smoothed with due account of the con dence values. Experiments with RADIUS model-board images show that the nal re ned and smoothed DEM gives a feasible approximation to the desired terrain.
Georgy L. Gimel'farb, Robert M. Haralick