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Proceedings Paper

Improve 3D shape reconstruction with dual-camera measurement fusion
Author(s): Yuewen Zhu; Qinghua Guo; Jiangtao Xi; Yanguang Yu; Jun Tong
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Paper Abstract

In this work, we consider the problem of 3D shape reconstruction with a system with two cameras and one projector, which can be regarded as a composite system with two fringe projection profilometry (FPP) systems and one stereo vision (SV) system. Different from the active SV systems in the literature where FPP is used to assist SV to address the issue of corresponding matching, a new system is proposed in this paper by constructing a fusion cost function with the consideration of both FPP and SV triangulations, so that the measurements of the two cameras can be fused to achieve better measurement performance than that of the active SV and FPP. In addition, a message passing algorithm for 3D shape reconstruction with the system is developed by using the new cost function and exploiting the unknown correlation of object surfaces. Simulation results demonstrate that the proposed system can achieve considerable performance gain.

Paper Details

Date Published: 18 November 2019
PDF: 6 pages
Proc. SPIE 11189, Optical Metrology and Inspection for Industrial Applications VI, 111890D (18 November 2019); doi: 10.1117/12.2539362
Show Author Affiliations
Yuewen Zhu, Univ. of Wollongong (Australia)
Qinghua Guo, Univ. of Wollongong (Australia)
Jiangtao Xi, Univ. of Wollongong (Australia)
Yanguang Yu, Univ. of Wollongong (Australia)
Jun Tong, Univ. of Wollongong (Australia)

Published in SPIE Proceedings Vol. 11189:
Optical Metrology and Inspection for Industrial Applications VI
Sen Han; Toru Yoshizawa; Song Zhang; Benyong Chen, Editor(s)

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