Abstract
Fringe-projection-based (FPB) three-dimensional (3D) imaging technique has become one of the most prevalent methods for 3D shape measurement and 3D image acquisition, and an essential component of the technique is the calibration process. This paper presents a framework for hyper-accurate system calibration with flexible setup and inexpensive hardware. Owing to the crucial improvement in the camera calibration technique, an enhanced governing equation for 3D shape determination, and an advanced flexible system calibration technique as well as some practical considerations on accurate fringe phase retrieval, the novel FPB 3D imaging technique can achieve a relative measurement accuracy of 0.010%. The validity and practicality are verified by both simulation and experiments.
Highlights
Fringe-projection-based (FPB) three-dimensional (3D) imaging technique has emerged as one of the most reliable methods for acquiring the 3D images of objects in real applications because of its considerable advantages such as low cost, easy implementation, high accuracy, and full field imaging
This paper presents a crucial improvement in the geometric camera calibration to overcome these two problems without loss of the original advantages of the conventional techniques
The proposed FPB 3D imaging technique is capable of providing relative accuracy higher than 0.010% for the entire field of view using low-cost and off-the-shelf hardware, where the relative accuracy is defined as the ratio of out-of-plane imaging error to the in-plane dimension
Summary
Fringe-projection-based (FPB) three-dimensional (3D) imaging technique has emerged as one of the most reliable methods for acquiring the 3D images of objects in real applications because of its considerable advantages such as low cost, easy implementation, high accuracy, and full field imaging. The calibration approaches based on using a governing equation that relates the height or depth information of the object surface to the phase map of the projection fringes at each point have been carefully investigated [1,2,3] These methods can be implemented by employing a number of gage blocks of different heights to calibrate the system and can yield very accurate results. A digital projector applies gamma decoding to images to enhance the visual effect, which brings undesired fringe intensity changes and subsequently reduces the accuracy of the 3D imaging [9] To overcome this nonlinear luminance problem, many approaches for compensating the error of the fringe phase have been developed, and they mainly fall into two categories. The proposed FPB 3D imaging technique is capable of providing relative accuracy higher than 0.010% for the entire field of view using low-cost and off-the-shelf hardware, where the relative accuracy is defined as the ratio of out-of-plane imaging error to the in-plane dimension
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