dc.citation.conferencePlace |
CH |
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dc.citation.conferencePlace |
Kaohsiung |
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dc.citation.title |
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 |
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dc.contributor.author |
Lee, Se-Ho |
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dc.contributor.author |
Chung, Tae-Young |
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dc.contributor.author |
Sim, Jae-Young |
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dc.contributor.author |
Kim, Chang-Su |
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dc.date.accessioned |
2023-12-20T00:37:07Z |
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dc.date.available |
2023-12-20T00:37:07Z |
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dc.date.created |
2014-02-19 |
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dc.date.issued |
2013-11-01 |
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dc.description.abstract |
An efficient depth map recovery algorithm, using concurrent object boundaries in texture and depth signals, is proposed in this work. We first analyze the effects of a distorted depth map on the qualities of synthesized views. Based on the analysis, we propose an object boundary detection scheme to restore sharp boundaries from a distorted depth map. Specifically, we initially estimate object boundaries from a depth map using the gradient magnitude at each pixel. We then multiply the gradient magnitudes of texture and depth pixels. Then, we suppress boundary pixels with non-maximum magnitudes and refine the object boundaries. Finally, we filter depth pixels along the gradient orientations using a median filter. Experimental results show that the proposed algorithm significantly improves the qualities of synthesized views, as compared with conventional algorithms. |
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dc.identifier.bibliographicCitation |
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 |
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dc.identifier.doi |
10.1109/APSIPA.2013.6694110 |
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dc.identifier.scopusid |
2-s2.0-84893297557 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/35620 |
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dc.identifier.url |
https://ieeexplore.ieee.org/document/6694110 |
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dc.language |
영어 |
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dc.publisher |
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 |
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dc.title |
Efficient depth map recovery using concurrent object boundaries in texture and depth images |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2013-10-29 |
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