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Objective: To evaluate and analyze the accuracy of three-dimensional camera system acquisition based on stereophotography for the photographic acquisition of images of facial deformities.
Methods: 3D digital models of 45 waxen facial models of patients with facial deformities were obtained via a 3D camera system based on stereophotography. A total of 19 feature lines were measured on each 3D model by using the software. The measurements taken by the coordinate-measuring machine were accepted as standard values. Statistical analysis was performed to evaluate the accuracy of the system and the corresponding factors.
Results: Statistical analysis results showed that the measured values of the characteristic distance obtained by 3D camera system were statistically different from the standard values (P<0.001). Convex deformities had significant influence on the measuring error of 3D camera system (P<0.05), while cleft deformities had no significant influence on the measuring error (P>0.05). The facial regions significantly influenced measuring error (P<0.05). The deformities had no significant influence on the percentage of measurement values (P>0.05). The middle facial regions had significant difference with bilateral facial regions on the percentage of measurement values (P<0.05), while the left and right facial regions had no significant difference (P>0.05).
Conclusions: The accuracy of 3D camera system based on stereophotography for the photographic acquisition of facial deformities are influenced by the morphology of the facial deformities and facial regions. Moreover, the measuring error is acceptable in clinical settings.
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http://dx.doi.org/10.7518/hxkq.2019.02.009 | DOI Listing |
Light Sci Appl
September 2025
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China.
Marine vessels play a vital role in the global economy; however, their negative impact on the marine atmospheric environment is a growing concern. Quantifying marine vessel emissions is an essential prerequisite for controlling these emissions and improving the marine atmospheric environment. Optical imaging remote sensing is a vital technique for quantifying marine vessel emissions.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Global Health Economics Centre, Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Background: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its application when deployed in real-world conditions.
Objective: This study aimed to assess the technical feasibility of integration and diagnostic performance of validated DR screening (DRS) AI algorithms in real-world outpatient public health settings.
J R Soc Interface
September 2025
Institute of Intelligent Systems and Robotics, Sorbonne Université, Paris, Île-de-France, France.
A number of techniques have been developed to measure the three-dimensional trajectories of protists, which require special experimental set-ups, such as a pair of orthogonal cameras. On the other hand, machine learning techniques have been used to estimate the vertical position of spherical particles from the defocus pattern, but they require the acquisition of a labelled dataset with finely spaced vertical positions. Here, we describe a simple way to make a dataset of images labelled with vertical position from a single 5 min movie, based on a tilted slide set-up.
View Article and Find Full Text PDFJDS Commun
September 2025
Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108.
[This corrects the article DOI: 10.3168/jdsc.2024-0659.
View Article and Find Full Text PDFLangmuir
September 2025
College of Petroleum Engineering, Liaoning Petrochemical University, Fushun 113001, Liaoning, China.
In recent years, amino acids have garnered extensive attention as environmentally friendly, small-dose additives for modulating hydrate formation and aggregation behavior. Amino acids, due to their amphiphilic nature, can adsorb at the gas-liquid interface and on hydrate crystal surfaces, thereby modifying interfacial properties and influencing crystal growth patterns. In our measurements, the amino acids displayed a concentration-dependent "double effect".
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