Architectural blueprints offer a concise, clear and high-level description of the structure of a building. On the other hand, state of the art reconstruction pipelines can nowadays produce dense point clouds or high-polygon meshes without any human intervention from a set of digital images or video. We present a fully automated structure and motion framework capable of capturing the expressivity of a high-level description without sacrificing the minute details of an accurate reconstruction. Our resulting architectural models, composed of textured high-level geometric primitives, capture the overall structure of a building and give birth to a more tractable and abstract model of the imaged scene, thereby narrowing the semantic gap in 3D reconstruction. Several examples display our system in action.
Towards unsupervised reconstruction of architectural models
FUSIELLO, Andrea;
2008-01-01
Abstract
Architectural blueprints offer a concise, clear and high-level description of the structure of a building. On the other hand, state of the art reconstruction pipelines can nowadays produce dense point clouds or high-polygon meshes without any human intervention from a set of digital images or video. We present a fully automated structure and motion framework capable of capturing the expressivity of a high-level description without sacrificing the minute details of an accurate reconstruction. Our resulting architectural models, composed of textured high-level geometric primitives, capture the overall structure of a building and give birth to a more tractable and abstract model of the imaged scene, thereby narrowing the semantic gap in 3D reconstruction. Several examples display our system in action.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
