16 November 2017 Three-dimensional shape reconstruction via an objective function optimization-based point cloud registration method
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Abstract
This paper proposes an approach for the full-field surface reconstruction of three-dimensional (3-D) objects. The method uses a fringe projection profilometry system to obtain a 3-D point cloud with a multiview and proposes an objective function that involves all of the parameters of rotation and translation. The feature points of the surface of the object are extracted to determine the initial value of the objective function, which is then optimized to achieve accurate registration of the point clouds. The experimental results demonstrate that the proposed method is accurate and effective.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Peng Yang, Yihao Zhou, Jun Yao, Ying Tang, Jubing Chen, "Three-dimensional shape reconstruction via an objective function optimization-based point cloud registration method," Optical Engineering 56(11), 113108 (16 November 2017). https://doi.org/10.1117/1.OE.56.11.113108 . Submission: Received: 12 August 2017; Accepted: 1 November 2017
Received: 12 August 2017; Accepted: 1 November 2017; Published: 16 November 2017
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