Firman, M;
Aodha, OM;
Julier, S;
Brostow, GJ;
(2016)
Structured prediction of unobserved voxels from a single depth image.
In:
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
(pp. pp. 5431-5440).
IEEE: Las Vegas, NV, USA.
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Abstract
Building a complete 3D model of a scene, given only a single depth image, is underconstrained. To gain a full volumetric model, one needs either multiple views, or a single view together with a library of unambiguous 3D models that will fit the shape of each individual object in the scene. We hypothesize that objects of dissimilar semantic classes often share similar 3D shape components, enabling a limited dataset to model the shape of a wide range of objects, and hence estimate their hidden geometry. Exploring this hypothesis, we propose an algorithm that can complete the unobserved geometry of tabletop-sized objects, based on a supervised model trained on already available volumetric elements. Our model maps from a local observation in a single depth image to an estimate of the surface shape in the surrounding neighborhood. We validate our approach both qualitatively and quantitatively on a range of indoor object collections and challenging real scenes.
| Type: | Proceedings paper |
|---|---|
| Title: | Structured prediction of unobserved voxels from a single depth image |
| Event: | 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) |
| ISBN-13: | 9781467388511 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/CVPR.2016.586 |
| Publisher version: | http://dx.doi.org/10.1109/CVPR.2016.586 |
| Language: | English |
| Additional information: | Copyright © 2016 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. |
| Keywords: | Three-dimensional displays, Geometry, Shape, Solid modeling, Two dimensional displays, Semantics, Cameras |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1533148 |
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