A Structured Light RGB-D Camera System for Accurate Depth Measurement

Joint Authors

Tran, Van Luan
Lin, Huei-Yung

Source

International Journal of Optics

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-11-01

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Physics

Abstract EN

The ability to reliably measure the depth of the object surface is very important in a range of high-value industries.

With the development of 3D vision techniques, RGB-D cameras have been widely used to perform the 6D pose estimation of target objects for a robotic manipulator.

Many applications require accurate shape measurements of the objects for 3D template matching.

In this work, we develop an RGB-D camera based on the structured light technique with gray-code coding.

The intrinsic and extrinsic parameters of the camera system are determined by a calibration process.

3D reconstruction of the object surface is based on the ray triangulation principle.

We construct an RGB-D sensing system with an industrial camera and a digital light projector.

In the experiments, real-world objects are used to test the feasibility of the proposed technique.

The evaluation carried out using planar objects has demonstrated the accuracy of our RGB-D depth measurement system.

American Psychological Association (APA)

Tran, Van Luan& Lin, Huei-Yung. 2018. A Structured Light RGB-D Camera System for Accurate Depth Measurement. International Journal of Optics،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1173770

Modern Language Association (MLA)

Tran, Van Luan& Lin, Huei-Yung. A Structured Light RGB-D Camera System for Accurate Depth Measurement. International Journal of Optics No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1173770

American Medical Association (AMA)

Tran, Van Luan& Lin, Huei-Yung. A Structured Light RGB-D Camera System for Accurate Depth Measurement. International Journal of Optics. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1173770

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1173770