Mr. Xi Ling Profile

Xi Ling

at XIOPM CAS

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Proceedings Article | 24 November 2021 Paper

Three-dimensional reconstruction technique based on triangular phase shift and complementary gray code

Ruixue Gao, Pengchang Zhang, Pengchong Wang, Xi Ling

Proceedings Volume 12065, 120652E (2021) https://doi.org/10.1117/12.2606547

KEYWORDS: Phase shifts, 3D metrology, Structured light, 3D modeling, Binary data, Raster graphics, Cameras

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Structured light 3D reconstruction technology has the advantages of non-contact, low cost and high reliability, and is widely used in industrial parts defect detection, cultural relics 3D digitization and other fields. As the core part of structured light, coding method is the key element to obtain 3D scene information, which directly affects the accuracy of 3D reconstruction. The combination of gray coding and phase shifting is a typical method for 3D shape measurement. However, due to the complexity of sinusoidal fringe calculation, and the fringe pattern boundary cannot be strictly aligned, there is a step change problem, which limits the application of this method in the field of real-time high-speed three-dimensional measurement. In this paper, the phase shift method of triangular wave and gray coding are combined to measure the 3D morphology. The triangular wave function only uses two raster images and the phase information can be obtained by simple intensity ratio calculation. The binary defocus technique can shorten the projection time, but it blurs the edge boundary of gray code and aggravates the step problem of reconstruction of object surface. In order to solve this problem, the complementary gray code whose fringe width is half of the sinusoidal fringe period is used to correct the period deviation. The experimental results show that the proposed method can reduce the number of fringe projection, simplify the calculation steps and shorten the time of data processing, so it is feasible.

Proceedings Article | 5 November 2020 Paper

High-resolution shape from focus based on line scan imaging

Xi Ling, Pengchang Zhang, Zhaoyang Zhang, Ruixue Gao

Proceedings Volume 11567, 115672Q (2020) https://doi.org/10.1117/12.2579988

KEYWORDS: 3D image reconstruction, Image resolution, Cameras, 3D modeling, Image acquisition, Image quality, 3D image processing, 3D acquisition, Imaging systems

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The surfaces of many ancient relics as murals and oil paintings we can see today appear three-dimensional features to some extent, which poses a challenging problem for line scan imaging to capture the features on these objects. With this goal in mind, a line scan camera-based shape from focus (SFF) method is proposed for obtaining three-dimensional information in planar cultural heritages with three-dimensional features. First, line scan imaging is employed to obtain high-resolution image sequence of objects. Next, spatial frequency (SF) is used to evaluate the focus quality of a specific local area of each image in the image sequence to find out the position of the best focused image. Through analyzing the relationship between this position and the relative movement distance of the camera-object, the three-dimensional shape of the object can be roughly estimated. Then, a fitting method was utilized to refine the local details of the three- dimensional shape of the object. An experimental setup is established to restore the three-dimensional shape of the test sample using the proposed SFF algorithm. Root mean square error (RMSE) was used as the evaluation criteria, and the result demonstrated the effectiveness of the proposed method, which shows the high precision three-dimensional shape recovery and also gains the benefits of high resolution and uniform point cloud distribution. Finally, the factors affecting the results of 3D reconstruction was discussed in detail, which may guide the selection of parameters in practice.

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