TY - CHAP
T1 - Metrological qualification of the intel D400™ active stereoscopy cameras
AU - Giancola, Silvio
AU - Valenti, Matteo
AU - Sala, Remo
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018
Y1 - 2018
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=85049808525&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-91761-0_6
DO - 10.1007/978-3-319-91761-0_6
M3 - Chapter
AN - SCOPUS:85049808525
T3 - SpringerBriefs in Computer Science
SP - 71
EP - 85
BT - SpringerBriefs in Computer Science
PB - Springer
ER -