Zobrazit minimální záznam

dc.contributor.authorJha, Vyomkesh Kumar
dc.contributor.authorGrushko, Stefan
dc.contributor.authorMlotek, Jakub
dc.contributor.authorKot, Tomáš
dc.contributor.authorKrys, Václav
dc.contributor.authorOščádal, Petr
dc.contributor.authorBobovský, Zdenko
dc.date.accessioned2021-02-10T09:52:09Z
dc.date.available2021-02-10T09:52:09Z
dc.date.issued2020
dc.identifier.citationMM Science Journal. 2020, vol. 2020, p. 4194-4200.cs
dc.identifier.issn1803-1269
dc.identifier.issn1805-0476
dc.identifier.urihttp://hdl.handle.net/10084/142812
dc.description.abstractA depth camera outputs an image in which each pixel depicts the distance between the camera plane and the corresponding point on the image plane. Low-cost depth cameras are becoming commonplace and given their applications in the field of machine vision, one must carefully select the right device according to the environment in which the camera will be used given the accuracy these cameras can be associated with factors such as distance from the target, luminosity of the environment, etc. This paper aims to compare three depth cameras currently available in the market, Intel RealSense D435, which uses stereo vision to compute depth at pixels, ASUS Xtion and Microsoft Kinect 2 represent Time of flight-based depth cameras. The comparison will be based on how the cameras perform at different distances from a flat surface and we will check if the colour of the surface affects the depth image quality.cs
dc.language.isoencs
dc.publisherMM Sciencecs
dc.relation.ispartofseriesMM Science Journalcs
dc.relation.urihttp://doi.org/10.17973/MMSJ.2020_12_2020057cs
dc.subjectsensor comparisoncs
dc.subjectdepth imagescs
dc.subjectimage processingcs
dc.subjectimage qualitycs
dc.titleA depth image quality benchmark of three popular low-cost depth camerascs
dc.typearticlecs
dc.identifier.doi10.17973/MMSJ.2020_12_2020057
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume2020cs
dc.description.lastpage4200cs
dc.description.firstpage4194cs
dc.identifier.wos000600414800004


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Zobrazit minimální záznam