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- Publisher Website: 10.1109/HLK.2003.1240855
- Scopus: eid_2-s2.0-64549160000
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Conference Paper: Symmetry-based photo editing
Title | Symmetry-based photo editing |
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Authors | |
Keywords | Cameras Computer vision Geometry Image reconstruction Image segmentation Layout Motion analysis Parallel processing Shape Three dimensional displays |
Issue Date | 2003 |
Citation | Proceedings - 1st IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis, HLK 2003, 2003, p. 21-28 How to Cite? |
Abstract | Based on high-level geometric knowledge, especially symmetry, imposed upon objects in images, we demonstrate how to edit images in terms of correct 3-D shape and relationships of the objects, without explicitly performing full 3-D reconstruction. Symmetry is proposed as the central notation that unifies both conceptually and algorithmically all types of geometric regularities such as parallelism, orthogonality, and similarity. The methods are extremely simple, accurate and easy to implement, and they demonstrate the power of applying scene knowledge. |
Persistent Identifier | http://hdl.handle.net/10722/326774 |
DC Field | Value | Language |
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dc.contributor.author | Huang, Kun | - |
dc.contributor.author | Hong, Wei | - |
dc.contributor.author | Ma, Yi | - |
dc.date.accessioned | 2023-03-31T05:26:25Z | - |
dc.date.available | 2023-03-31T05:26:25Z | - |
dc.date.issued | 2003 | - |
dc.identifier.citation | Proceedings - 1st IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis, HLK 2003, 2003, p. 21-28 | - |
dc.identifier.uri | http://hdl.handle.net/10722/326774 | - |
dc.description.abstract | Based on high-level geometric knowledge, especially symmetry, imposed upon objects in images, we demonstrate how to edit images in terms of correct 3-D shape and relationships of the objects, without explicitly performing full 3-D reconstruction. Symmetry is proposed as the central notation that unifies both conceptually and algorithmically all types of geometric regularities such as parallelism, orthogonality, and similarity. The methods are extremely simple, accurate and easy to implement, and they demonstrate the power of applying scene knowledge. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings - 1st IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis, HLK 2003 | - |
dc.subject | Cameras | - |
dc.subject | Computer vision | - |
dc.subject | Geometry | - |
dc.subject | Image reconstruction | - |
dc.subject | Image segmentation | - |
dc.subject | Layout | - |
dc.subject | Motion analysis | - |
dc.subject | Parallel processing | - |
dc.subject | Shape | - |
dc.subject | Three dimensional displays | - |
dc.title | Symmetry-based photo editing | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/HLK.2003.1240855 | - |
dc.identifier.scopus | eid_2-s2.0-64549160000 | - |
dc.identifier.spage | 21 | - |
dc.identifier.epage | 28 | - |