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- Publisher Website: 10.1109/ICCV.2019.00577
- Scopus: eid_2-s2.0-85081900589
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Conference Paper: Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans
Title | Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans |
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Authors | |
Keywords | Three-dimensional displays Cameras Image reconstruction Feature extraction Pose estimation |
Issue Date | 2019 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000149 |
Citation | Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, South Korea, 27 October - 2 November 2019, p. 5673-5682 How to Cite? |
Abstract | We present a novel approach to align partial 3D reconstructions which may not have substantial overlap. Using floorplan priors, our method jointly predicts a room layout and estimates the transformations from a set of partial 3D data. Unlike the existing methods relying on feature descriptors to establish correspondences, we exploit the 3D 'box' structure of a typical room layout that meets the Manhattan World property. We first estimate a local layout for each partial scan separately and then combine these local layouts to form a globally aligned layout with loop closure. Without the requirement of feature matching, the proposed method enables some novel applications ranging from large or featureless scene reconstruction and modeling from sparse input. We validate our method quantitatively and qualitatively on real and synthetic scenes of various sizes and complexities. The evaluations and comparisons show superior effectiveness and accuracy of our method. |
Persistent Identifier | http://hdl.handle.net/10722/289852 |
ISSN | 2023 SCImago Journal Rankings: 12.263 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lin, C | - |
dc.contributor.author | Li, C | - |
dc.contributor.author | Wang, WP | - |
dc.date.accessioned | 2020-10-22T08:18:24Z | - |
dc.date.available | 2020-10-22T08:18:24Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, South Korea, 27 October - 2 November 2019, p. 5673-5682 | - |
dc.identifier.issn | 1550-5499 | - |
dc.identifier.uri | http://hdl.handle.net/10722/289852 | - |
dc.description.abstract | We present a novel approach to align partial 3D reconstructions which may not have substantial overlap. Using floorplan priors, our method jointly predicts a room layout and estimates the transformations from a set of partial 3D data. Unlike the existing methods relying on feature descriptors to establish correspondences, we exploit the 3D 'box' structure of a typical room layout that meets the Manhattan World property. We first estimate a local layout for each partial scan separately and then combine these local layouts to form a globally aligned layout with loop closure. Without the requirement of feature matching, the proposed method enables some novel applications ranging from large or featureless scene reconstruction and modeling from sparse input. We validate our method quantitatively and qualitatively on real and synthetic scenes of various sizes and complexities. The evaluations and comparisons show superior effectiveness and accuracy of our method. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000149 | - |
dc.relation.ispartof | IEEE International Conference on Computer Vision (ICCV) Proceedings | - |
dc.rights | IEEE International Conference on Computer Vision (ICCV) Proceedings. Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Three-dimensional displays | - |
dc.subject | Cameras | - |
dc.subject | Image reconstruction | - |
dc.subject | Feature extraction | - |
dc.subject | Pose estimation | - |
dc.title | Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Wang, WP: wenping@cs.hku.hk | - |
dc.identifier.authority | Wang, WP=rp00186 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICCV.2019.00577 | - |
dc.identifier.scopus | eid_2-s2.0-85081900589 | - |
dc.identifier.hkuros | 317154 | - |
dc.identifier.spage | 5673 | - |
dc.identifier.epage | 5682 | - |
dc.identifier.isi | WOS:000548549200066 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1550-5499 | - |