Surface reconstruction using stereo information and differential properties

In this paper, we present an approach to reconstruct surfaces from a calibrated pair of images, using stereo information and differential features such as crest lines. It uses an object-centered representation that is optimized to conform to the surface shape. It also extracts typical features such as crest lines and uses them to guide the optimization and the surface reconstruction. We present results using aerial images and terrain data.