3D-city modeling with a digital one-eye stereo system

D city information is crucial for a number of applications in city planning environmental control or for telecommunication We describe a semiautomatic system for acquiring the D shape of buildings as topographic objects Buildings are either modeled as a freely structured union of basic shape primitives or as prisms with an arbitrary ground plan covering a large percentage of existing buildings Interaction takes place in only one image requiring the operator to specify the approximate structure and shape of the buildings D reconstruction including both height determination and form adaptation is performed automatically using various matching tools The paper describes the features of the system and reports on its e ciency based on an extensive test

[1]  Pascal Fua,et al.  Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery , 1996, ECCV.

[2]  Ramakant Nevatia,et al.  Including interaction in an automated modelling system , 1995, Proceedings of International Symposium on Computer Vision - ISCV.

[3]  Wolfgang Förstner,et al.  Models for photogrammetric building reconstruction , 1995, Comput. Graph..

[4]  E. Baltsavias,et al.  Automatic Extraction of Man-Made Objects from Aerial and Space Images (II) , 1995 .

[5]  Edward M. Riseman,et al.  Matching complex images to multiple 3D objects using view description networks , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[6]  Wolfgang Förstner,et al.  Object Location Based on Uncertain Models , 1989, DAGM-Symposium.

[7]  Allen R. Hanson,et al.  The image understanding environment program , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Wolfgang Förstner,et al.  Model-Based 2D-Shape Recovery , 1995, DAGM-Symposium.

[9]  Wolfgang Eckstein,et al.  Fusion of digital terrain models and texture for object extraction , 1996 .

[10]  Reinhard Koch,et al.  Shape adaptation for modelling of 3D objects in natural scenes , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.