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Proceedings Paper

Determination of a dense depth map from an image sequence: application to aerial imagery
Author(s): Brigitte Geraud; Guy Le Besnerais; Gilles Foulon
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Paper Abstract

The context of this study is the 3D reconstruction of urban scenes from aerial images. We intend to estimate a dense depth map precise enough to be exploited by recognition algorithms. In this paper, we show how a multi-view approach made up of very simple and automatic operations can achieve this goal. Unlike 2-view stereovision methods, we do not exploit a disparity map for depth estimation. The proposed method consists in directly scanning depth. For each depth hypothesis, a reference image is projected by using a planar perspective transformation. The correct hypothesis is found pixel by pixel by minimizing a simple matching criterion based on a gray level comparison. We calculate this criterion for each pixel of the reference image, each depth hypothesis and each baseline formed with the reference image and and an other image of the sequence. The estimated depth map obtained with a synthetic aerial image sequence, shows that exploiting several images with different baselines reduces the reconstruction errors due to noise and false matches. We have implemented an algorithm composed of simple automatic computations, that should be highly parallelizable.

Paper Details

Date Published: 4 December 1998
PDF: 12 pages
Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998); doi: 10.1117/12.331879
Show Author Affiliations
Brigitte Geraud, ONERA (France)
Guy Le Besnerais, ONERA (France)
Gilles Foulon, ONERA (France)

Published in SPIE Proceedings Vol. 3500:
Image and Signal Processing for Remote Sensing IV
Sebastiano Bruno Serpico, Editor(s)

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