Reparation of transparency for high-quality three-dimensional reconstruction using a single RGB-D sensor

Jun Yan; Qing Xia; Jianlin Chen; Yijun Ji; Dan Zeng; Zhijiang Zhang

doi:10.1117/1.OE.57.10.103101

11 October 2018 Reparation of transparency for high-quality three-dimensional reconstruction using a single RGB-D sensor

Jun Yan, Qing Xia, Jianlin Chen, Yijun Ji, Dan Zeng, Zhijiang Zhang

Author Affiliations +

Optical Engineering, Vol. 57, Issue 10, 103101 (October 2018). https://doi.org/10.1117/1.OE.57.10.103101

Abstract

Consumer-grade range cameras are widely used in three-dimensional reconstruction. However, the resolution and stability limit the quality of reconstruction, especially with transparent objects. A method is proposed to reconstruct the transparency while improving the reconstruction quality of the indoor scene with a single RGB-D sensor. We propose the method to localize the transparent regions from zero depth and wrong depth. The lost surface of transparency is recovered by modeling the statistics of zero depth, variance, and residual error of signed distance function (SDF) with depth data fusion. The camera pose is first initialized by the error minimization of depth map on the SDF and k-color-frame constraint. The pose then is optimized by the penalized coefficient function, which lowers the weight of voxels with higher SDF error. The method is proved to be valid in localizing the transparent objects and can achieve a more robust camera pose under a complex background.

Citation Download Citation

Jun Yan, Qing Xia, Jianlin Chen, Yijun Ji, Dan Zeng, and Zhijiang Zhang "Reparation of transparency for high-quality three-dimensional reconstruction using a single RGB-D sensor," Optical Engineering 57(10), 103101 (11 October 2018). https://doi.org/10.1117/1.OE.57.10.103101

Received: 9 April 2018; Accepted: 11 September 2018; Published: 11 October 2018

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KEYWORDS

Transparency

Cameras

Sensors

3D modeling

Reconstruction algorithms

Optical engineering

3D acquisition

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