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DC poleHodnotaJazyk
dc.contributor.authorXie, Yupeng
dc.contributor.authorFachada, Sarah
dc.contributor.authorBonatto, Daniele
dc.contributor.authorTeratani, Mehrdad
dc.contributor.authorLafruit, Gauthier
dc.contributor.editorSkala, Václav
dc.date.accessioned2021-09-01T08:45:26Z
dc.date.available2021-09-01T08:45:26Z
dc.date.issued2021
dc.identifier.citationWSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 317-324.en
dc.identifier.isbn978-80-86943-34-3
dc.identifier.issn2464-4617
dc.identifier.issn2464–4625(CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/45038
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectsyntéza pohleducs
dc.subjectodhad hloubkycs
dc.subjectLiDARcs
dc.subjectkalibrace kamerycs
dc.subjectDERScs
dc.subjectDIBRcs
dc.subjectRVScs
dc.subjectReference View Synthesizercs
dc.subjectvykreslování založené na hloubce obrazucs
dc.titleView Synthesis: LiDAR Camera versus Depth Estimationen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedDepth-Image-Based Rendering (DIBR) can synthesize a virtual view image from a set of multiview images andcorresponding depth maps. However, this requires an accurate depth map estimation that incurs a high compu-tational cost over several minutes per frame in DERS (MPEG-I’s Depth Estimation Reference Software) even byusing a high-class computer. LiDAR cameras can thus be an alternative solution to DERS in real-time DIBR ap-plications. We compare the quality of a low-cost LiDAR camera, the Intel Realsense LiDAR L515 calibrated andconfigured adequately, with DERS using MPEG-I’s Reference View Synthesizer (RVS). In IV-PSNR, the LiDARcamera reaches 32.2dB view synthesis quality with a 15cm camera baseline and 40.3dB with a 2cm baseline.Though DERS outperforms the LiDAR camera with 4.2dB, the latter provides a better quality-performance trade-off. However, visual inspection demonstrates that LiDAR’s virtual views have even slightly higher quality thanwith DERS in most tested low-texture scene areas, except for object borders. Overall, we highly recommend usingLiDAR cameras over advanced depth estimation methods (like DERS) in real-time DIBR applications. Neverthe-less, this requires delicate calibration with multiple tools further exposed in the paper.en
dc.subject.translatedview synthesisen
dc.subject.translateddepth estimationen
dc.subject.translatedLiDARen
dc.subject.translatedcamera calibrationen
dc.subject.translatedDERSen
dc.subject.translatedDIBRen
dc.subject.translatedRVSen
dc.subject.translatedReference View Synthesizeren
dc.subject.translatedDepth-Image-Based Renderingen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2021.3101.35
dc.type.statusPeer-revieweden
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