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- Publisher Website: 10.1016/j.patcog.2004.11.014
- Scopus: eid_2-s2.0-14644430300
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Article: Symmetry-based photo-editing
| Title | Symmetry-based photo-editing |
|---|---|
| Authors | |
| Keywords | 3-D scene recovery High-level knowledge Image understanding Photo-editing Structure from symmetry |
| Issue Date | 2005 |
| Citation | Pattern Recognition, 2005, v. 38, n. 6, p. 825-834 How to Cite? |
| Abstract | In this paper, we demonstrate how to edit digital photos based on the understanding of high-level geometric knowledge imposed upon objects in the photos. This is achieved by the correct recovery of the 3-D shape and relationships of the objects, without explicitly performing full 3-D reconstruction. Symmetry is proposed as the central notion that unifies both conceptually and algorithmically all types of geometric regularities such as parallelism, orthogonality, and similarity. The methods are extremely simple, accurate, easy to implement, and they demonstrate the utility of applying scene knowledge to image understanding and editing. © 2005 Pattern Recognition Society. Published by Elsevier Ltd. |
| Persistent Identifier | http://hdl.handle.net/10722/326686 |
| ISSN | 2021 Impact Factor: 8.518 2020 SCImago Journal Rankings: 1.492 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Huang, Kun | - |
| dc.contributor.author | Hong, Wei | - |
| dc.contributor.author | Ma, Yi | - |
| dc.date.accessioned | 2023-03-31T05:25:47Z | - |
| dc.date.available | 2023-03-31T05:25:47Z | - |
| dc.date.issued | 2005 | - |
| dc.identifier.citation | Pattern Recognition, 2005, v. 38, n. 6, p. 825-834 | - |
| dc.identifier.issn | 0031-3203 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/326686 | - |
| dc.description.abstract | In this paper, we demonstrate how to edit digital photos based on the understanding of high-level geometric knowledge imposed upon objects in the photos. This is achieved by the correct recovery of the 3-D shape and relationships of the objects, without explicitly performing full 3-D reconstruction. Symmetry is proposed as the central notion that unifies both conceptually and algorithmically all types of geometric regularities such as parallelism, orthogonality, and similarity. The methods are extremely simple, accurate, easy to implement, and they demonstrate the utility of applying scene knowledge to image understanding and editing. © 2005 Pattern Recognition Society. Published by Elsevier Ltd. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Pattern Recognition | - |
| dc.subject | 3-D scene recovery | - |
| dc.subject | High-level knowledge | - |
| dc.subject | Image understanding | - |
| dc.subject | Photo-editing | - |
| dc.subject | Structure from symmetry | - |
| dc.title | Symmetry-based photo-editing | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1016/j.patcog.2004.11.014 | - |
| dc.identifier.scopus | eid_2-s2.0-14644430300 | - |
| dc.identifier.volume | 38 | - |
| dc.identifier.issue | 6 | - |
| dc.identifier.spage | 825 | - |
| dc.identifier.epage | 834 | - |