Facades modeling from a ground-view video with map constraints

Abstract : We present a 3D modeling approach to reconstruct urban facades with map constraints. Our main constribution is to use GIS data to filter the points cloud to improve the reconstruction process. The method's input is a ground-view video sequence captured by a common webcam. We extract original feature points cloud by using structure-from-motion technique. First, the footprint from GIS enables us to achieve filtering process, which is a key step to generate a quality reconstruction result in our method. Secondly, our method reconstructs the final facades based on the footprint. We show a simple and accurate facades modeling system to reconstruct building facades.
Type de document :
Communication dans un congrès
Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011, 2011, Nara, Japan. pp.128--131, 2011
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https://hal.archives-ouvertes.fr/hal-01521507
Contributeur : Myriam Servières <>
Soumis le : jeudi 11 mai 2017 - 19:02:27
Dernière modification le : jeudi 11 janvier 2018 - 06:23:21

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  • HAL Id : hal-01521507, version 1

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UNAM | AAU | CERMA | UGA

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Ruijun Liu, Myriam Servières, Guillaume Moreau. Facades modeling from a ground-view video with map constraints. Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011, 2011, Nara, Japan. pp.128--131, 2011. 〈hal-01521507〉

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