Název: View Synthesis: LiDAR Camera versus Depth Estimation
Autoři: Xie, Yupeng
Fachada, Sarah
Bonatto, Daniele
Teratani, Mehrdad
Lafruit, Gauthier
Citace zdrojového dokumentu: WSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 317-324.
Datum vydání: 2021
Nakladatel: Václav Skala - UNION Agency
Typ dokumentu: konferenční příspěvek
conferenceObject
URI: http://hdl.handle.net/11025/45038
ISBN: 978-80-86943-34-3
ISSN: 2464-4617
2464–4625(CD/DVD)
Klíčová slova: syntéza pohledu;odhad hloubky;LiDAR;kalibrace kamery;DERS;DIBR;RVS;Reference View Synthesizer;vykreslování založené na hloubce obrazu
Klíčová slova v dalším jazyce: view synthesis;depth estimation;LiDAR;camera calibration;DERS;DIBR;RVS;Reference View Synthesizer;Depth-Image-Based Rendering
Abstrakt v dalším jazyce: Depth-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.
Práva: © Václav Skala - UNION Agency
Vyskytuje se v kolekcích:WSCG 2021: Full Papers Proceedings

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