Paper Info
Title
The ascender system: automated site modeling from multiple aerial images
Abstract
The Ascender system acquires, extends, and refines 3D geometric site models from calibrated aerial imagery. To acquire a new site model, an automated building detector is run on one image to hypothesize potential building rooftops. Supporting evidence is located in other images via epipolar line segment matching in constrained search regions. The precise 3D shape and location of each building is then determined by multiimage triangulation under geometric constraints of 3D orthogonality, parallelness, colinearity, and coplanarity of lines and surfaces. Projective mapping of image intensity information onto these polyhedral building models results in a realistic site model that can be rendered using virtual “fly-through” graphics. As new images of the site become available, model extension and refinement procedures are performed to add previously unseen buildings and to improve the geometric accuracy of the existing 3D building models. In this way, the system gradually accumulates evidence over time to make the site model more complete and more accurate. An extensive performance evaluation of component algorithms and the full system has been carried out. Two-dimensional building detection accuracy, as well as accuracy of the three-dimensional building reconstruction, are presented for a representative data set.
Year
DOI
Venue
1998
10.1006/cviu.1998.0729
Computer Vision and Image Understanding
Keywords
DocType
Volume
automated site modeling,ascender system,multiple aerial image,three dimensional
Journal
72
Issue
ISSN
Citations 
2
Computer Vision and Image Understanding
28
PageRank 
References 
Authors
3.38
15
7
Name
Order
Citations
PageRank
Robert T. Collins12599203.77
Christopher O. Jaynes2558.44
Yong-Qing Cheng331057.01
Xiaoguang Wang4619.31
frank stolle5649.96
E. M. Riseman61402458.95
A. Hanson71348304.11