Conference Paper: Self-calibrating depth from refraction
| Title | Self-calibrating depth from refraction |
|---|---|
| Authors | Chen, Z1 Wong, KKY1 Matsushita, Y2 Zhu, X1 Liu, M1 |
| Keywords | Depth map Input image Real world data Self-calibrating Cameras |
| Issue Date | 2011 |
| Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000149 |
| Citation | The 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 6-13 November 2011. In Proceedings of IEEE ICCV, 2011, p. 635-642 [How to Cite?] DOI: http://dx.doi.org/10.1109/ICCV.2011.6126298 |
| Abstract | In this paper, we introduce a novel method for depth acquisition based on refraction of light. A scene is captured twice by a fixed perspective camera, with the first image captured directly by the camera and the second by placing a transparent medium between the scene and the camera. A depth map of the scene is then recovered from the displacements of scene points in the images. Unlike other existing depth from refraction methods, our method does not require the knowledge of the pose and refractive index of the transparent medium, but can recover them directly from the input images. We hence call our method self-calibrating depth from refraction. Experimental results on both synthetic and real-world data are presented, which demonstrate the effectiveness of the proposed method. © 2011 IEEE. |
| ISBN | 978-1-4577-1102-2 |
| ISSN | 1550-5499 |
| DOI | http://dx.doi.org/10.1109/ICCV.2011.6126298 |
| dc.contributor.author | Chen, Z |
|---|---|
| dc.contributor.author | Wong, KKY |
| dc.contributor.author | Matsushita, Y |
| dc.contributor.author | Zhu, X |
| dc.contributor.author | Liu, M |
| dc.date.accessioned | 2011-08-26T14:30:34Z |
| dc.date.available | 2011-08-26T14:30:34Z |
| dc.date.issued | 2011 |
| dc.description.abstract | In this paper, we introduce a novel method for depth acquisition based on refraction of light. A scene is captured twice by a fixed perspective camera, with the first image captured directly by the camera and the second by placing a transparent medium between the scene and the camera. A depth map of the scene is then recovered from the displacements of scene points in the images. Unlike other existing depth from refraction methods, our method does not require the knowledge of the pose and refractive index of the transparent medium, but can recover them directly from the input images. We hence call our method self-calibrating depth from refraction. Experimental results on both synthetic and real-world data are presented, which demonstrate the effectiveness of the proposed method. © 2011 IEEE. |
| dc.description.nature | published_or_final_version |
| dc.description.other | The 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 6-13 November 2011. In Proceedings of IEEE ICCV, 2011, p. 635-642 |
| dc.identifier.citation | The 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 6-13 November 2011. In Proceedings of IEEE ICCV, 2011, p. 635-642 [How to Cite?] DOI: http://dx.doi.org/10.1109/ICCV.2011.6126298 |
| dc.identifier.doi | http://dx.doi.org/10.1109/ICCV.2011.6126298 |
| dc.identifier.epage | 642 |
| dc.identifier.hkuros | 191685 |
| dc.identifier.isbn | 978-1-4577-1102-2 |
| dc.identifier.issn | 1550-5499 |
| dc.identifier.scopus | eid_2-s2.0-84863036717 |
| dc.identifier.spage | 635 |
| dc.identifier.uri | http://hdl.handle.net/10722/137655 |
| dc.language | eng |
| dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000149 |
| dc.publisher.place | United States |
| dc.relation.ispartof | IEEE International Conference on Computer Vision Proceedings |
| dc.rights | IEEE International Conference on Computer Vision Proceedings. Copyright © IEEE. |
| dc.rights | ©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| dc.rights | Creative Commons: Attribution 3.0 Hong Kong License |
| dc.subject | Depth map |
| dc.subject | Input image |
| dc.subject | Real world data |
| dc.subject | Self-calibrating |
| dc.subject | Cameras |
| dc.title | Self-calibrating depth from refraction |
| dc.type | Conference_Paper |
Author Affiliations
- The University of Hong Kong
- Microsoft Research Asia