In the last few years, the occupational health (OH) of healthcare workers (HCWs) has been shown increasing concern by both health departments and researchers. This study aims to provide academics with quantitative and qualitative analysis of healthcare workers’ occupational health (HCWs+OH) field in a joint way. Based on 402 papers published from 1992 to 2019, we adopted the approaches of bibliometric and social network analysis (SNA) to map and quantify publication years, research area distribution, international collaboration, keyword co-occurrence frequency, hierarchical clustering, highly cited articles and cluster timeline visualization. In view of the results, several hotspot clusters were identified, namely: physical injuries, workplace, mental health; occupational hazards and diseases, infectious factors; community health workers and occupational exposure. As for citations, we employed document co-citation analysis to detect trends and identify seven clusters, namely tuberculosis (TB), strength training, influenza, healthcare worker (HCW), occupational exposure, epidemiology and psychological. With the visualization of cluster timeline, we detected that the earliest research cluster was occupational exposure, then followed by epidemiology and psychological; however, TB, strength training and influenza appeared to gain more attention in recent years. These findings are presumed to offer researchers, public health practitioners a comprehensive understanding of HCWs+OH research.

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Laser triangulation and photometric stereo are popular optical 3D reconstruction methods but bear limitations in underwater environment because of the refraction phenomenon. Refraction bends the usually straight rays of light to another directions in the interface of a flat underwater housing. It causes the camera to capture the virtual object points instead of the real ones, so that the commonly used pinhole camera model is invalid. Therefore, in this paper, we introduce a flat refractive model for describing the geometric relation accurately between the virtual object points and the real ones, which can correct the distortions in underwater 3D reconstruction methods. The parameters of model can be estimated in a calibration step with a standard chessboard. Then the proposed geometric relation is used for rebuilding underwater three-dimensional relationship in laser triangulation and photometric stereo. The experimental results indicate the effectiveness of our methods in underwater 3D reconstruction.Index Terms-refractive model, laser triangulation, photometric stereo.

Classical photometric stereo requires uniform collimated light, but point light sources are usually employed in practical setups. This introduces errors to the recovered surface shape. We found that when the light sources are evenly placed around the object with the same slant angle, the main component of the errors is the low-frequency deformation, which can be approximately described by a quadratic function. We proposed a postprocessing method to correct the deviation caused by the nonuniform illumination. The method refines the surface shape with prior information from calibration using a flat plane or the object itself. And we further introduce an optimization scheme to improve the reconstruction accuracy when the three-dimensional information of some locations is available. Experiments were conducted using surfaces captured with our device and those from a public dataset. The results demonstrate the effectiveness of the proposed approach.

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