Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Pourmand, S. | |
| dc.contributor.author | Merillou, N. | |
| dc.contributor.author | Merillou, S. | |
| dc.contributor.editor | Skala, Václav | |
| dc.date.accessioned | 2022-09-01T10:31:10Z | |
| dc.date.available | 2022-09-01T10:31:10Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | WSCG 2022: full papers proceedings: 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 135-141. | en |
| dc.identifier.isbn | 978-80-86943-33-6 | |
| dc.identifier.issn | 2464-4617 | |
| dc.identifier.uri | http://hdl.handle.net/11025/49587 | |
| dc.format | 7 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | Václav Skala - UNION Agency | en |
| dc.rights | © Václav Skala - UNION Agency | en |
| dc.subject | dokončení hloubky | cs |
| dc.subject | RGB-D obrázky | cs |
| dc.subject | syntetický datový soubor | cs |
| dc.subject | zrcadlové odrazy | cs |
| dc.title | Depth Completion for Close-Range Specular Objects | en |
| dc.type | conferenceObject | en |
| dc.rights.access | openAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | Many objects in the real world exhibit specular reflections. Due to the limitations of the basic RGB-D cameras, it is particularly challenging to accurately capture their 3D shapes. In this work, we present an approach to correct the depth of close-range specular objects using convolutional neural networks. We first generate a synthetic dataset containing such close-range objects. We then train a deep convolutional network to estimate normal and boundary maps from a single image.With these results, we propose an algorithm to detect the incorrect area of the raw depth map. After removing the erroneous zone, we complete the depth channel. | en |
| dc.subject.translated | depth completion | en |
| dc.subject.translated | RGB-D images | en |
| dc.subject.translated | synthetic dataset | en |
| dc.subject.translated | specular reflections | en |
| dc.identifier.doi | https://www.doi.org/10.24132/CSRN.3201.17 | |
| dc.type.status | Peer-reviewed | en |
| Vyskytuje se v kolekcích: | WSCG 2022: Full Papers Proceedings | |
Soubory připojené k záznamu:
| Soubor | Popis | Velikost | Formát | |
|---|---|---|---|---|
| B89-full.pdf | Plný text | 3,59 MB | Adobe PDF | Zobrazit/otevřít |
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