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End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models

For accurate urban planning, three-dimensional (3D) building models with a high level of detail (LOD) must be developed. However, most large-scale 3D building models are limited to a low LOD of 1–2, as the creation of higher LOD models requires the modeling of detailed building elements such as wall...

Повний опис

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Автори: Yoshiki Ogawa, Ryoto Nakamura, Go Sato, Hiroya Maeda, Yoshihide Sekimoto
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2024-05-01
Серія:Remote Sensing
Предмети:
3D building model
building matching
omnidirectional image
building footprint
building element extraction
texture synthesis
Онлайн доступ:https://www.mdpi.com/2072-4292/16/11/1858
Теги: Додати тег
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