A Structured Light System Encoding for an Uncalibrated 3D Reconstruction Based on Evolutionary Algorithms

Bourgeois-Republique, Claire; Dipandà, Albert; Koch, Alain

doi:10.1109/sitis.2013.31

Cited by 2 publications

(1 citation statement)

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“…Scharstein et al [11] proposed a method for acquiring high-complexity stereo image pairs with pixel-accurate correspondence information using structured light. Some previous works such as [12][13][14][15] described various methods to perform 3D reconstruction and obtained some satisfactory results. However, those techniques require to use precalibrated 2 International Journal of Optics…”

Section: Introductionmentioning

confidence: 99%

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

Tran

Lin

2018

International Journal of Optics

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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.

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