Meunier P, Yin S
Systems Modelling Group, Defence and Civil Institute of Environmental Medicine, Toronto, Ont, Canada.
Appl Ergon. 2000 Oct;31(5):445-51. doi: 10.1016/s0003-6870(00)00023-5.
Two-dimensional, image-based anthropometric measurement systems offer an interesting alternative to traditional and three-dimensional methods in applications such as clothing sizing. These automated systems are attractive because of their low cost and the speed with which they can measure size and determine the best-fitting garment. Although these systems have appeal in this type of application, not much is known about the accuracy and precision of the measurements they take. In this paper, the performance of one such system was assessed. The accuracy of the system was analyzed using a database of 349 subjects (male and female) who were also measured with traditional anthropometric tools and techniques, and the precision was estimated through repeated measurements of both a plastic mannequin and a human subject. The results of the system were compared with those of trained anthropometrists, and put in perspective relative to clothing sizing requirements and short-term body changes. It was concluded that image-based systems are capable of providing anthropometric measurements that are quite comparable to traditional measurement methods (performed by skilled measurers), both in terms of accuracy and repeatability.
在服装尺码等应用中，基于图像的二维人体测量系统为传统方法和三维方法提供了一种有趣的替代方案。这些自动化系统具有吸引力，因为它们成本低，并且能够快速测量尺寸并确定最合身的服装。尽管这些系统在这类应用中有吸引力，但对于它们所进行测量的准确性和精确性了解并不多。在本文中，对这样一个系统的性能进行了评估。使用一个包含349名受试者（男性和女性）的数据库分析了该系统的准确性，这些受试者也使用传统人体测量工具和技术进行了测量，并通过对一个塑料人体模型和一名人类受试者的重复测量来估计精确性。将该系统的结果与训练有素的人体测量师的结果进行了比较，并根据服装尺码要求和短期身体变化进行了分析。得出的结论是，基于图像的系统在准确性和可重复性方面都能够提供与传统测量方法（由熟练测量人员执行）相当的人体测量结果。
