Metrological qualification of the intel D400™ active stereoscopy cameras

Silvio Giancola*, Matteo Valenti, Remo Sala

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    7 Scopus citations

    Abstract

    In January 2018, Intel released the RealSense RS400™ generation of Three-dimension (3D) computer vision devices based on Active Stereoscopy technology. It includes RGB-D modules and image processing hardware, providing makers and system integrators with a flexible way to implement embedded 3D vision solutions. Currently, Intel’s RS400™ generation presents state-of-the-art specifications in terms of resolution and operating range (Table 6.1), considering commercial mass market 3D active stereoscopy cameras. Intel propose two different vision modules, the RS410™ and the RS430™, based on the D4 processor that the they implement in two ready-to-use cameras, the D415™ and the D435™. As for the Kinect V2™ and the Orbbec Astra S™, we are investigating the metrological performances of the Intel D415™ and D435™ depth sensor. First, we present a preliminary analysis of the devices. Then, we focus our test on pixel-wise characterization along the depth, the sensor plane and the angular parameters. Last, performances for shapes reconstruction are analyzed. (Table presented).

    Original languageEnglish (US)
    Title of host publicationSpringerBriefs in Computer Science
    PublisherSpringer
    Pages71-85
    Number of pages15
    DOIs
    StatePublished - 2018

    Publication series

    NameSpringerBriefs in Computer Science
    ISSN (Print)2191-5768
    ISSN (Electronic)2191-5776

    Bibliographical note

    Publisher Copyright:
    © The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature 2018.

    ASJC Scopus subject areas

    • General Computer Science

    Fingerprint

    Dive into the research topics of 'Metrological qualification of the intel D400™ active stereoscopy cameras'. Together they form a unique fingerprint.

    Cite this