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Conference Paper: Large-baseline matching and reconstruction from symmetry cells
Title | Large-baseline matching and reconstruction from symmetry cells |
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Authors | |
Keywords | 3-D reconstruction Epipolar constraint Homography group Large-baseline feature matching Symmetry-based reconstruction |
Issue Date | 2004 |
Citation | Proceedings - IEEE International Conference on Robotics and Automation, 2004, v. 2004, n. 2, p. 1418-1423 How to Cite? |
Abstract | In this paper, we study how the presence of symmetry in man-made environments may significantly facilitate the task of automatic matching features and recovering 3-D camera pose and scene structure from multiple perspective images. While conventional methods typically rely on small-motion tracking or robust statistic techniques to resolve the coupling between feature matching and 3-D recovery, we here propose a new symmetry-based approach which allows automatic feature matching between images taken with arbitrary (both large and small) camera motions. To this end, we develop the multiple-view geometry of symmetry cells. To resolve possible ambiguities that may arise in matching symmetry cells and camera pose recovery, we find a consistent solution by finding the maximal complete subgraph of a matching graph; we also use a topological check to avoid mismatches. As our experiments will show, the resulting algorithms are simple, accurate and easy to implement. |
Persistent Identifier | http://hdl.handle.net/10722/326702 |
ISSN | 2020 SCImago Journal Rankings: 0.915 |
DC Field | Value | Language |
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dc.contributor.author | Huang, Kun | - |
dc.contributor.author | Yang, Allen Y. | - |
dc.contributor.author | Hong, Wei | - |
dc.contributor.author | Ma, Yi | - |
dc.date.accessioned | 2023-03-31T05:25:54Z | - |
dc.date.available | 2023-03-31T05:25:54Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | Proceedings - IEEE International Conference on Robotics and Automation, 2004, v. 2004, n. 2, p. 1418-1423 | - |
dc.identifier.issn | 1050-4729 | - |
dc.identifier.uri | http://hdl.handle.net/10722/326702 | - |
dc.description.abstract | In this paper, we study how the presence of symmetry in man-made environments may significantly facilitate the task of automatic matching features and recovering 3-D camera pose and scene structure from multiple perspective images. While conventional methods typically rely on small-motion tracking or robust statistic techniques to resolve the coupling between feature matching and 3-D recovery, we here propose a new symmetry-based approach which allows automatic feature matching between images taken with arbitrary (both large and small) camera motions. To this end, we develop the multiple-view geometry of symmetry cells. To resolve possible ambiguities that may arise in matching symmetry cells and camera pose recovery, we find a consistent solution by finding the maximal complete subgraph of a matching graph; we also use a topological check to avoid mismatches. As our experiments will show, the resulting algorithms are simple, accurate and easy to implement. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings - IEEE International Conference on Robotics and Automation | - |
dc.subject | 3-D reconstruction | - |
dc.subject | Epipolar constraint | - |
dc.subject | Homography group | - |
dc.subject | Large-baseline feature matching | - |
dc.subject | Symmetry-based reconstruction | - |
dc.title | Large-baseline matching and reconstruction from symmetry cells | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-3042534423 | - |
dc.identifier.volume | 2004 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 1418 | - |
dc.identifier.epage | 1423 | - |