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Proceedings Paper

Synthesizing maps of 3D scenes from multiple reference views without constructing the DEM
Author(s): Eamon B. Barrett; Paul Max Payton; Peter J. Marra
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Paper Abstract

The reference data consists of two or more central- projection images of a three-dimensional distribution of object points, i.e., a 3D scene. The positions and orientations of the cameras which generated the reference images are unknown, as are the coordinates of all the object points. We derive and demonstrate invariant methods for synthesizing nadir views of the object points, i.e., 2D maps of the 3D scene. The techniques we demonstrate depart from standard methods of resection and intersection to recover the camera geometry and reconstruct object points from the reference images, followed by back-projection to create the nadir view. Our approach will be to perform the image measurements and computations required to estimate the image invariant relationships linking the reference images to one another and to the nadir view. The empirically estimated invariant relationships can thereafter be used to transfer conjugate points from the reference images to their synthesized conjugates in the nadir view. Computation of the object model -- the digital elevation model (DEM) -- is not required in this approach. The method also differs from interpolation in that the 3D structure of the scene is preserved, including the effects of partial occlusion. Algorithms are validated, initially with synthetic CAD models and subsequently with real data consisting of uncontrolled aerial imagery and maps with occasional missing or inaccurately delineated features.

Paper Details

Date Published: 31 December 1996
PDF: 14 pages
Proc. SPIE 2960, Remote Sensing for Geography, Geology, Land Planning, and Cultural Heritage, (31 December 1996); doi: 10.1117/12.262462
Show Author Affiliations
Eamon B. Barrett, Lockheed Martin Missiles & Space Co., Inc. (United States)
Paul Max Payton, Lockheed Martin Missiles & Space Co., Inc. (United States)
Peter J. Marra, Lockheed Martin Missiles & Space Co., Inc. (United States)

Published in SPIE Proceedings Vol. 2960:
Remote Sensing for Geography, Geology, Land Planning, and Cultural Heritage
Daniel Arroyo-Bishop; Roberto Carla; Joan B. Lurie; Carlo M. Marino; A. Panunzi; James J. Pearson; Eugenio Zilioli, Editor(s)

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