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Pré-Publication, Document De Travail Année : 2022

Improving the Pair Selection and the Model Fusion Steps of Satellite Multi-View Stereo Pipelines

Alvaro Gómez
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Gabriele Facciolo
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Rafael Grompone von Gioi
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  • PersonId : 914703

Résumé

Multi-view stereo reconstruction of scenes from satellite images is traditionally performed with a pair-wise stereovision approach: (1) multiple views are grouped into pairs, (2) each pair is processed by two-view stereo methods producing an elevation model or point cloud, lastly (3) the pairwise reconstructions are integrated and filtered to obtain a final result. These steps are organized in a pipeline and the end-to-end performance of reconstructions depends on the behavior of these steps. This work introduces two changes that increase the performance of the reconstructions: a new pair selection approach and a new integration method are presented. The new pair selection replaces commonly used heuristics with a principled criterion that predicts the completeness of a pair based on offline simulations. The presented integration method is based on an iterated bilateral filter. Experiments show that these changes yield a systematic improvement on the performance of the pipeline.
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Dates et versions

hal-03851266 , version 1 (14-11-2022)

Identifiants

  • HAL Id : hal-03851266 , version 1

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Alvaro Gómez, Gregory Randall, Gabriele Facciolo, Rafael Grompone von Gioi. Improving the Pair Selection and the Model Fusion Steps of Satellite Multi-View Stereo Pipelines. 2022. ⟨hal-03851266⟩
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