J. Son et al., "Automatic Measurement of Dimensions of 3D Foot Scan Data", in Proc. of 1st Asian Workshop on 3D Body Scanning Technologies, Tokyo, Japan, 2012, pp. 147-154, http://dx.doi.org/10.15221/A12.147.
Automatic Measurement of Dimensions of 3D Foot Scan Data
Jinkyou SON, Seung-Yeob BAEK, Kunwoo LEE
Human Centered CAD Laboratory, Seoul National University, Korea
Recent trend of user-customization of the foot wears draws attention to the importance of digitized foot measurement due to its accuracy and efficiency. Conventional methods of measuring the foot dimensions, however, are not attractive in a sense that they usually take a lot of time for manually determining the landmark feature points, and that they are too much dependent on the subjective opinion of examiners and thus not reproducible. Also in the way to measure the foot dimensions from 3D scan data of a foot, landmarks still need to be manually determined by human investigator before or after scanning. Moreover, definitions of the foot dimensions and the way to measuring them are so much different from researchers to researchers so that it may confuse examiners to perform their tasks. In this paper, to solve these problems, we are to summarize previous works in literature and to propose the standards for measuring foot size dimensions. Further, by employing the computational geometry algorithms that automatically localizes the landmark points we overcome the limitations of the manual localization. As a result, an algorithm that takes raw 3D scan data of subject's foot and returns the locations of the landmark points and the virtually-measured foot dimensions. To examine our method, we tested 325 foot scan data that are randomly collected from our foot shape database. The algorithm aligned the data to have same position and orientation, and automatically found the landmark positions according to the geometric property. Then, the foot dimensions are measured by computing the lengths, circumferences, angles defined upon the landmarks. As a result we could find that those results are perfectly reproducible so that they are always the same for every trial. Further, we could also find that the algorithm localizes the landmark points consistently from model to model, and therefore it can be served as a standard foot measurement method. Moreover, since our method is fully automatic, it is needless to say that it took extremely short time and does not require any tiresome labor.
Foot scanning, Automatic landmark localization, Simulated foot measurement
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