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Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/35934 Cómo citar
Título: Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines
Autor: Gómez, Alvaro
Randall, Gregory
Facciolo, Gabriele
Grompone von Gioi, Rafael
Tipo: Ponencia
Palabras clave: Point cloud compression, Computer vision, Satellites, Systematics, Computational modeling, Pipelines, Predictive models, Applications, Remote Sensing
Fecha de publicación: 2023
Resumen: 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.
Editorial: IEEE
EN: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2-7 jan. 2023, pp. 6333-6342.
DOI: 10.1109/WACV56688.2023.00628
Citación: Gómez, A., Randall, G., Facciolo, G. y otros. Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines [en línea]. EN: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2-7 jan. 2023, pp. 6333-6342. DOI: 10.1109/WACV56688.2023.00628.
Licencia: Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Aparece en las colecciones: Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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