2014
DOI: 10.1364/ao.53.007942
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Structured light system calibration method with optimal fringe angle

Abstract: For structured light system calibration, one popular approach is to treat the projector as an inverse camera. This is usually performed by projecting horizontal and vertical sequences of patterns to establish one-to-one mapping between camera points and projector points. However, for a well-designed system, either horizontal or vertical fringe images are not sensitive to depth variation and thus yield inaccurate mapping. As a result, the calibration accuracy is jeopardized if a conventional calibration method … Show more

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Cited by 46 publications
(9 citation statements)
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“…Through connecting each row, the matrices can be rearranged into two M×N vectors, which are denoted as I1 and I2. To compare two matrices, the two vectors are generated in this way, and the PCC can be calculated as a metric of similarity of the two generated vectors [22]. The PCC is calculated as:…”
Section: Data Comparison Between Ct and Sls Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…Through connecting each row, the matrices can be rearranged into two M×N vectors, which are denoted as I1 and I2. To compare two matrices, the two vectors are generated in this way, and the PCC can be calculated as a metric of similarity of the two generated vectors [22]. The PCC is calculated as:…”
Section: Data Comparison Between Ct and Sls Systemmentioning
confidence: 99%
“…The SLS system has highresolution, high-speed, and low-cost characteristics to achieve the 3D scanning of three-dimensional objects. The SLS is an optical system that could capture and reconstruct three-dimensional objects in realtime with an accuracy of 0.2 mm [22]. The resolution of the SLS system could be adjusted according to various scenarios in the application.…”
Section: Introductionmentioning
confidence: 99%
“…Through connecting each row, the matrices can be rearranged into two M×N vectors, which are denoted as I1 and I2. To compare two matrices, the two vectors are generated in this way, and the PCC can be calculated as a metric of similarity of the two generated vectors [22]. The PCC is calculated as: Figure 12 shows the complete repair process, starting from SLS scanning of the defect sample to the nondestructive evaluation of the fixed part.…”
Section: Fig10mentioning
confidence: 99%
“…In contrast to the above solutions, lower‐cost methods exist which need little or no additional hardware. For example, Li and Zhang () and Wang and Zhang () only used the maximum cumulative phase difference of all pixels to define the optimum direction of a fringe pattern. They stated that the best results were obtained when the pattern direction was perpendicular to the camera–projector base.…”
Section: Introductionmentioning
confidence: 99%