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- Publisher Website: 10.1007/s00371-016-1312-2
- Scopus: eid_2-s2.0-84986333978
- WOS: WOS:000419139200008
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Article: Superpixel-based color–depth restoration and dynamic environment modeling for Kinect-assisted image-based rendering systems
Title | Superpixel-based color–depth restoration and dynamic environment modeling for Kinect-assisted image-based rendering systems |
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Authors | |
Keywords | Image-based rendering Superpixel Kinect Background modeling Local polynomial regression |
Issue Date | 2018 |
Publisher | Springer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00371/index.htm |
Citation | The Visual Computer, 2018, v. 34 n. 1, p. 67-81 How to Cite? |
Abstract | Depth information is an important ingredient in many multiview applications including image-based rendering (IBR). With the advent of electronics, low-cost and high-speed depth cameras, such as the Microsoft Kinect, are getting increasingly popular. In this paper, we propose a superpixel-based joint color–depth restoration approach for Kinect depth camera and study its application to view synthesis in IBR systems. Thus, an edge-based matching method is proposed to reduce the color–depth registration errors. Then the Kinect depth map is restored based on probabilistic color–depth superpixels, probabilistic local polynomial regression and joint color–depth matting. The proposed restoration algorithm does not only inpaint the missing data, but also correct and refine the depth map to provide better color–depth consistency. Last but not the least, a dynamic background modeling scheme is proposed to address the disocclusion problem in the view synthesis for dynamic environment. The experimental results show the effectiveness of the proposed algorithm and system. |
Persistent Identifier | http://hdl.handle.net/10722/307869 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 0.778 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, C | - |
dc.contributor.author | Chan, SC | - |
dc.contributor.author | Zhu, ZY | - |
dc.contributor.author | Zhang, L | - |
dc.contributor.author | Shum, HY | - |
dc.date.accessioned | 2021-11-12T13:39:05Z | - |
dc.date.available | 2021-11-12T13:39:05Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | The Visual Computer, 2018, v. 34 n. 1, p. 67-81 | - |
dc.identifier.issn | 0178-2789 | - |
dc.identifier.uri | http://hdl.handle.net/10722/307869 | - |
dc.description.abstract | Depth information is an important ingredient in many multiview applications including image-based rendering (IBR). With the advent of electronics, low-cost and high-speed depth cameras, such as the Microsoft Kinect, are getting increasingly popular. In this paper, we propose a superpixel-based joint color–depth restoration approach for Kinect depth camera and study its application to view synthesis in IBR systems. Thus, an edge-based matching method is proposed to reduce the color–depth registration errors. Then the Kinect depth map is restored based on probabilistic color–depth superpixels, probabilistic local polynomial regression and joint color–depth matting. The proposed restoration algorithm does not only inpaint the missing data, but also correct and refine the depth map to provide better color–depth consistency. Last but not the least, a dynamic background modeling scheme is proposed to address the disocclusion problem in the view synthesis for dynamic environment. The experimental results show the effectiveness of the proposed algorithm and system. | - |
dc.language | eng | - |
dc.publisher | Springer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00371/index.htm | - |
dc.relation.ispartof | The Visual Computer | - |
dc.subject | Image-based rendering | - |
dc.subject | Superpixel | - |
dc.subject | Kinect | - |
dc.subject | Background modeling | - |
dc.subject | Local polynomial regression | - |
dc.title | Superpixel-based color–depth restoration and dynamic environment modeling for Kinect-assisted image-based rendering systems | - |
dc.type | Article | - |
dc.identifier.email | Chan, SC: scchan@eee.hku.hk | - |
dc.identifier.authority | Chan, SC=rp00094 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s00371-016-1312-2 | - |
dc.identifier.scopus | eid_2-s2.0-84986333978 | - |
dc.identifier.hkuros | 329430 | - |
dc.identifier.volume | 34 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 67 | - |
dc.identifier.epage | 81 | - |
dc.identifier.isi | WOS:000419139200008 | - |
dc.publisher.place | Germany | - |