Estimation of 3-D Foot Parameters Using Hand-Held RGB-D Camera

Chen, Yang-Sheng; Chen, Yu‐Chun; Kao, Peng-Yuan; Shih, Sheng-Wen; Hung, Yi‐Ping

doi:10.1007/978-3-319-16634-6_30

Cited by 2 publications

(5 citation statements)

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“…The average estimation error of their method is about 2 mm. The method proposed in [ 29 ] estimates the foot length, width and ball girth using a RGB-D camera. The standard deviations of measurements of 10 times for each subject’s foot length and width are both 3.5 mm.…”

Section: Discussionmentioning

confidence: 99%

“…The system defines the foot axis based on the two key points, the centers of the second toe and heel. Some of existing method presented the automatic foot axis detection [ 28 , 29 ]. Their methods compute the first principal axis of foot point distribution and define it as the foot axis.…”

Section: Methodsmentioning

confidence: 99%

“…For each frame during foot roll-over motion, the change in mean height and projected surface in seven regions of interest (ROI) are computed. In [ 29 ], Chen et al proposed a hand held RGB-D camera based 3D foot parameter estimation method. The user firstly rotates around the foot and captures the consecutive color and depth images using a hand held RGB-D camera.…”

Section: Related Literaturementioning

confidence: 99%

“…Even though their system uses 3D shape information and provides useful information for suitable shoe selection, they do not provide any essential information to calculate AI, AW, and AW such as the contact region of foot. Although some existing systems can measure the entire surface of the foot and some provide analytic information related to foot measurement, such as the deformation of cross-sections [ 23 ], global foot dimensions (foot length, width, height, and girth) [ 25 , 29 ], and changes in mean height and projected surface [ 28 ], the studies do not include any information regarding the AI, AW, and AH which can be used for clinical purposes and design of ergonomic personalized footwear.…”

Section: Related Literaturementioning

confidence: 99%

“…Even though the system in [ 23 ] has higher image resolution (1024

768) than the proposed system, the frame rate is slow (14 Hz). In [ 29 ], they use the low-cost RGB-D camera similar with the RGB-D camera used in the proposed system. However, the frame rate and image resolution are relatively low as 30 Hz and 320

240, and also their system cannot capture the plantar shape of the foot.…”

Section: Related Literaturementioning

confidence: 99%

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A Foot-Arch Parameter Measurement System Using a RGB-D Camera

Chun

Kong²,

Mun

et al. 2017

Sensors

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The conventional method of measuring foot-arch parameters is highly dependent on the measurer’s skill level, so accurate measurements are difficult to obtain. To solve this problem, we propose an autonomous geometric foot-arch analysis platform that is capable of capturing the sole of the foot and yields three foot-arch parameters: arch index (AI), arch width (AW) and arch height (AH). The proposed system captures 3D geometric and color data on the plantar surface of the foot in a static standing pose using a commercial RGB-D camera. It detects the region of the foot surface in contact with the footplate by applying the clustering and Markov random field (MRF)-based image segmentation methods. The system computes the foot-arch parameters by analyzing the 2/3D shape of the contact region. Validation experiments were carried out to assess the accuracy and repeatability of the system. The average errors for AI, AW, and AH estimation on 99 data collected from 11 subjects during 3 days were −0.17%, 0.95 mm, and 0.52 mm, respectively. Reliability and statistical analysis on the estimated foot-arch parameters, the robustness to the change of weights used in the MRF, the processing time were also performed to show the feasibility of the system.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%