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- Publisher Website: 10.1109/CVPR.2015.7299026
- Scopus: eid_2-s2.0-84959225879
- WOS: WOS:000387959204005
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Conference Paper: A fixed viewpoint approach for dense reconstruction of transparent objects
Title | A fixed viewpoint approach for dense reconstruction of transparent objects |
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Authors | |
Issue Date | 2015 |
Publisher | IEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000147 |
Citation | The 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA., 7-12 June 2015. In IEEE Conference on Computer Vision and Pattern Recognition Proceedings, 2015, p. 4001-4008 How to Cite? |
Abstract | This paper addresses the problem of reconstructing the surface shape of transparent objects. The difficulty of this problem originates from the viewpoint dependent appearance of a transparent object, which quickly makes reconstruction methods tailored for diffuse surfaces fail disgracefully. In this paper, we develop a fixed viewpoint approach for dense surface reconstruction of transparent objects based on refraction of light. We introduce a simple setup that allows us alter the incident light paths before light rays enter the object, and develop a method for recovering the object surface based on reconstructing and triangulating such incident light paths. Our proposed approach does not need to model the complex interactions of light as it travels through the object, neither does it assume any parametric form for the shape of the object nor the exact number of refractions and reflections taken place along the light paths. It can therefore handle transparent objects with a complex shape and structure, with unknown and even inhomogeneous refractive index. Experimental results on both synthetic and real data are presented which demonstrate the feasibility and accuracy of our proposed approach. |
Persistent Identifier | http://hdl.handle.net/10722/219221 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 10.331 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Han, K | - |
dc.contributor.author | Wong, KKY | - |
dc.contributor.author | Liu, M | - |
dc.date.accessioned | 2015-09-18T07:18:05Z | - |
dc.date.available | 2015-09-18T07:18:05Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA., 7-12 June 2015. In IEEE Conference on Computer Vision and Pattern Recognition Proceedings, 2015, p. 4001-4008 | - |
dc.identifier.isbn | 9781467369640 | - |
dc.identifier.issn | 1063-6919 | - |
dc.identifier.uri | http://hdl.handle.net/10722/219221 | - |
dc.description.abstract | This paper addresses the problem of reconstructing the surface shape of transparent objects. The difficulty of this problem originates from the viewpoint dependent appearance of a transparent object, which quickly makes reconstruction methods tailored for diffuse surfaces fail disgracefully. In this paper, we develop a fixed viewpoint approach for dense surface reconstruction of transparent objects based on refraction of light. We introduce a simple setup that allows us alter the incident light paths before light rays enter the object, and develop a method for recovering the object surface based on reconstructing and triangulating such incident light paths. Our proposed approach does not need to model the complex interactions of light as it travels through the object, neither does it assume any parametric form for the shape of the object nor the exact number of refractions and reflections taken place along the light paths. It can therefore handle transparent objects with a complex shape and structure, with unknown and even inhomogeneous refractive index. Experimental results on both synthetic and real data are presented which demonstrate the feasibility and accuracy of our proposed approach. | - |
dc.language | eng | - |
dc.publisher | IEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000147 | - |
dc.relation.ispartof | IEEE Conference on Computer Vision and Pattern Recognition Proceedings | - |
dc.title | A fixed viewpoint approach for dense reconstruction of transparent objects | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Wong, KKY: kykwong@cs.hku.hk | - |
dc.identifier.authority | Wong, KKY=rp01393 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/CVPR.2015.7299026 | - |
dc.identifier.scopus | eid_2-s2.0-84959225879 | - |
dc.identifier.hkuros | 252040 | - |
dc.identifier.spage | 4001 | - |
dc.identifier.epage | 4008 | - |
dc.identifier.isi | WOS:000387959204005 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 151119 | - |
dc.identifier.issnl | 1063-6919 | - |