Metrological qualification of the orbbec astra S™ Structured-Light Camera

Silvio Giancola; Matteo Valenti; Remo Sala

doi:10.1007/978-3-319-91761-0_5

Metrological qualification of the orbbec astra S™ Structured-Light Camera

Silvio Giancola^*, Matteo Valenti, Remo Sala

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Scopus citations

Abstract

The Orbbec Astra S™ is a promising Three-dimension (3D) camera based on the Structured-Light technology. The Chinese company released their sensor in 2015, based on a proprietary Infra-Red (IR) depth sensor. Whether it is not clear what is the physical resolution of the depth sensor, the camera can produce point cloud up to 1280 × 1024 at 5 Hz (Table 5.1). In this chapter, we limit the resolution to 640 × 480, to maintain a fair comparison with a 30 Hz frame rate. The baseline between the camera and the project is equal to 75 mm. Even though the range is limited to 2 m, the device provide a point cloud up to 2.5 m, hence we characterized it up to that range. In this chapter, we first focuses on preliminary test including the calibration of the device. Then, we provide an estimation of the random and systematic error components, in a similar fashion than previously obtained with the Kinect V2™. Last, we provide qualitative results for simple shape reconstruction. (Table presented).

Original language	English (US)
Title of host publication	SpringerBriefs in Computer Science
Publisher	Springer
Pages	61-69
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-319-91761-0_5
State	Published - 2018

Publication series

Name	SpringerBriefs 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

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10.1007/978-3-319-91761-0_5

Cite this

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abstract = "The Orbbec Astra S{\texttrademark} is a promising Three-dimension (3D) camera based on the Structured-Light technology. The Chinese company released their sensor in 2015, based on a proprietary Infra-Red (IR) depth sensor. Whether it is not clear what is the physical resolution of the depth sensor, the camera can produce point cloud up to 1280 × 1024 at 5 Hz (Table 5.1). In this chapter, we limit the resolution to 640 × 480, to maintain a fair comparison with a 30 Hz frame rate. The baseline between the camera and the project is equal to 75 mm. Even though the range is limited to 2 m, the device provide a point cloud up to 2.5 m, hence we characterized it up to that range. In this chapter, we first focuses on preliminary test including the calibration of the device. Then, we provide an estimation of the random and systematic error components, in a similar fashion than previously obtained with the Kinect V2{\texttrademark}. Last, we provide qualitative results for simple shape reconstruction. (Table presented).",

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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 - The Orbbec Astra S™ is a promising Three-dimension (3D) camera based on the Structured-Light technology. The Chinese company released their sensor in 2015, based on a proprietary Infra-Red (IR) depth sensor. Whether it is not clear what is the physical resolution of the depth sensor, the camera can produce point cloud up to 1280 × 1024 at 5 Hz (Table 5.1). In this chapter, we limit the resolution to 640 × 480, to maintain a fair comparison with a 30 Hz frame rate. The baseline between the camera and the project is equal to 75 mm. Even though the range is limited to 2 m, the device provide a point cloud up to 2.5 m, hence we characterized it up to that range. In this chapter, we first focuses on preliminary test including the calibration of the device. Then, we provide an estimation of the random and systematic error components, in a similar fashion than previously obtained with the Kinect V2™. Last, we provide qualitative results for simple shape reconstruction. (Table presented).

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Metrological qualification of the orbbec astra S™ Structured-Light Camera

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