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- Publisher Website: 10.1109/ICCVW.2011.6130297
- Scopus: eid_2-s2.0-84863082585
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Conference Paper: Holistic 3D reconstruction of urban structures from low-rank textures
Title | Holistic 3D reconstruction of urban structures from low-rank textures |
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Authors | |
Issue Date | 2011 |
Citation | Proceedings of the IEEE International Conference on Computer Vision, 2011, p. 593-600 How to Cite? |
Abstract | We introduce a new approach to reconstructing accurate camera geometry and 3D models for urban structures in a holistic fashion, i.e., without relying on extraction or matching of traditional local features such as points and edges. Instead, we use semi-global or global features based on transform invariant low-rank textures, which are ubiquitous in urban scenes. Modern high-dimensional optimization techniques enable us to accurately and robustly recover precise and consistent camera calibration and scene geometry from single or multiple images of the scene. We demonstrate how to construct 3D models of large-scale buildings from sequences of multiple large-baseline uncalibrated images that conventional SFM systems do not apply. © 2011 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/326897 |
DC Field | Value | Language |
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dc.contributor.author | Mobahi, Hossein | - |
dc.contributor.author | Zhou, Zihan | - |
dc.contributor.author | Yang, Allen Y. | - |
dc.contributor.author | Ma, Yi | - |
dc.date.accessioned | 2023-03-31T05:27:19Z | - |
dc.date.available | 2023-03-31T05:27:19Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Proceedings of the IEEE International Conference on Computer Vision, 2011, p. 593-600 | - |
dc.identifier.uri | http://hdl.handle.net/10722/326897 | - |
dc.description.abstract | We introduce a new approach to reconstructing accurate camera geometry and 3D models for urban structures in a holistic fashion, i.e., without relying on extraction or matching of traditional local features such as points and edges. Instead, we use semi-global or global features based on transform invariant low-rank textures, which are ubiquitous in urban scenes. Modern high-dimensional optimization techniques enable us to accurately and robustly recover precise and consistent camera calibration and scene geometry from single or multiple images of the scene. We demonstrate how to construct 3D models of large-scale buildings from sequences of multiple large-baseline uncalibrated images that conventional SFM systems do not apply. © 2011 IEEE. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings of the IEEE International Conference on Computer Vision | - |
dc.title | Holistic 3D reconstruction of urban structures from low-rank textures | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICCVW.2011.6130297 | - |
dc.identifier.scopus | eid_2-s2.0-84863082585 | - |
dc.identifier.spage | 593 | - |
dc.identifier.epage | 600 | - |