17 August 1994 Modeling aspects of the surface reconstruction problem
Author Affiliations +
Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182852
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany
Abstract
The ultimate goal of digital photogrammetry is to automatically produce digital maps which may in turn form the basis of GIS. Virtually all work in surface reconstruction deals with various kinds of approximations and constraints that are applied. In this paper we extend these concepts in various ways. For one, matching is performed in object space. Thus, matching and densification (modeling) is performed in the same reference system. Another extension concerns the solution of the second sub-problem. Rather than simply densifying (interpolating) the surface, we propose to model it. This combined top-down and bottom-up approach is performed in scale space, whereby the model is refined until compatibility between the data and expectations is reached. The paper focuses on the modeling aspects of the surface reconstruction problem. Obviously, the top-down and bottom-up model descriptions ought to be in a form which allows the generation and verification of hypotheses. Another crucial question is the degree of a priori scene knowledge necessary to constrain the solution space.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles K. Toth, Charles K. Toth, Gabor Melykuti, Gabor Melykuti, } "Modeling aspects of the surface reconstruction problem", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182852; https://doi.org/10.1117/12.182852
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

Non-monotonic model-based system for scene interpretation
Proceedings of SPIE (January 01 1990)
Geometric modeling of noisy image objects
Proceedings of SPIE (March 01 1991)
Object identification employing surface markings
Proceedings of SPIE (October 13 1994)
Model-based estimation of small-target parameters
Proceedings of SPIE (September 03 1998)
Bayesian inference for model-based vision
Proceedings of SPIE (February 01 1992)

Back to Top