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4 December 1998 Determination of a dense depth map from an image sequence: application to aerial imagery
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brigitte Geraud, Guy Le Besnerais, and Gilles Foulon "Determination of a dense depth map from an image sequence: application to aerial imagery", Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998);

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