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从二维信息生成三维足部形状。

3D foot shape generation from 2D information.

作者信息

Luximon Ameersing, Goonetilleke Ravindra S, Zhang Ming

机构信息

Jockey Club Rehabilitation Engineering Center, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.

出版信息

Ergonomics. 2005 May 15;48(6):625-41. doi: 10.1080/0014013050070970.

Abstract

Two methods to generate an individual 3D foot shape from 2D information are proposed. A standard foot shape was first generated and then scaled based on known 2D information. In the first method, the foot outline and the foot height were used, and in the second, the foot outline and the foot profile were used. The models were developed using 40 participants and then validated using a different set of 40 participants. Results show that each individual foot shape can be predicted within a mean absolute error of 1.36 mm for the left foot and 1.37 mm for the right foot using the first method, and within a mean absolute error of 1.02 mm for the left foot and 1.02 mm for the right foot using the second method. The second method shows somewhat improved accuracy even though it requires two images. Both the methods are relatively cheaper than using a scanner to determine the 3D foot shape for custom footwear design.

摘要

提出了两种从二维信息生成个体三维足部形状的方法。首先生成标准足部形状,然后根据已知的二维信息进行缩放。在第一种方法中,使用了足部轮廓和足部高度,在第二种方法中,使用了足部轮廓和足部侧面轮廓。使用40名参与者开发了模型,然后使用另一组40名参与者进行了验证。结果表明,使用第一种方法,左脚的平均绝对误差为1.36毫米,右脚为1.37毫米,使用第二种方法,左脚的平均绝对误差为1.02毫米,右脚为1.02毫米,每种个体足部形状都可以被预测。第二种方法虽然需要两张图像,但显示出了一定程度的精度提高。这两种方法都比使用扫描仪来确定用于定制鞋类设计的三维足部形状相对便宜。

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