Precision of the CAESAR scan-extracted measurements

Robinette, Kathleen M.; Daanen, H.A.M.

doi:10.1016/j.apergo.2005.07.009

Cited by 96 publications

(67 citation statements)

References 7 publications

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“…Robinette and Daanen stated that 3D scanning was more accurate than traditional methods and that the errors of the measurement tools could be controlled and reduced. 19 Also, Telfer and Woodburn showed that the measurement of anthropometric foot dimensions was more effective using a 3D scanning method compared to traditional methods, and that it could be used for a greater number of samples. 39 Although the amount of time spent in both methods was the same, it must be considered that factors such as the inappropriate posture of the anthropometrist and the violation of the personal space of the individual who is being measured are avoided by the laser scanning method, and that an archive of the 3D files can be built, which eliminates the need for the subject to return to the lab for subsequent studies.…”

Section: Discussionmentioning

confidence: 99%

“…It also creates the possibility of deriving information such as the shape, distance, perimeter, and volume of the object. 19 In the field of ergonomics, 3D scanners are focused on anthropometry, the size and shape of the human body, human digital models, and work environment simulations in order to quickly collect information without the need for human assistance. [20][21][22] Since 1985, many systems that use white light, laser light, and shadows to collect data points from the human body have been developed.…”

mentioning

confidence: 99%

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Technical Report on the Modification of 3-Dimensional Non-contact Human Body Laser Scanner for the Measurement of Anthropometric Dimensions: Verification of its Accuracy and Precision

Roodbandi

Naderi²,

Hashenmi-Nejad

et al. 2017

J Lasers Med Sci

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Technical Report on the Modification of 3-Dimensional Non-contact Human Body Laser Scanner for the Measurement of Anthropometric Dimensions: Verification of its Accuracy and Precision

Roodbandi

Naderi²,

Hashenmi-Nejad

et al. 2017

J Lasers Med Sci

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“…MAD was commonly used to evaluate the precision of the measurement method [7,9,24]. A smaller MAD value indicates higher precision.…”

Section: Discussionmentioning

confidence: 99%

“…This was due to the stability of the plantar surface pressure distribution affecting the ink footprint quality, resulting in poor consistency in the repeated measurements. The Anthropometric Survey of U.S. Army Personnel (ANSUR) MAD results were applied to examine the maximum allowable error for measurements [9,24,27]. If the MAD value for repeat measurements was smaller than the ANSUR's maximum allowable error, it indicates that the measurement precision was acceptable.…”

Section: Discussionmentioning

confidence: 99%

Comparing 3D foot scanning with conventional measurement methods

Lee

Lin

Wang

2014

Journal of Foot and Ankle Research

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Background: Foot dimension information on different user groups is important for footwear design and clinical applications. Foot dimension data collected using different measurement methods presents accuracy problems. This study compared the precision and accuracy of the 3D foot scanning method with conventional foot dimension measurement methods including the digital caliper, ink footprint and digital footprint. Methods: Six commonly used foot dimensions, i.e. foot length, ball of foot length, outside ball of foot length, foot breadth diagonal, foot breadth horizontal and heel breadth were measured from 130 males and females using four foot measurement methods. Two-way ANOVA was performed to evaluate the sex and method effect on the measured foot dimensions. In addition, the mean absolute difference values and intra-class correlation coefficients (ICCs) were used for precision and accuracy evaluation. The results were also compared with the ISO 20685 criteria. Results: The participant's sex and the measurement method were found (p < 0.05) to exert significant effects on the measured six foot dimensions. The precision of the 3D scanning measurement method with mean absolute difference values between 0.73 to 1.50 mm showed the best performance among the four measurement methods. The 3D scanning measurements showed better measurement accuracy performance than the other methods (mean absolute difference was 0.6 to 4.3 mm), except for measuring outside ball of foot length and foot breadth horizontal. The ICCs for all six foot dimension measurements among the four measurement methods were within the 0.61 to 0.98 range.

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“…While in wide use, to our knowledge the accuracy of measurement prediction from CAESAR scans has not been evaluated, and nobody has attempted to predict measurements from sitting poses. Robinette and Daanen [19] measured the variance of estimates extracted semi-…”

Section: Previous Workmentioning

confidence: 99%

Model-based anthropometry: Predicting measurements from 3D human scans in multiple poses

Tsoli

Loper

Black

2014

IEEE Winter Conference on Applications of Computer Vision

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Extracting anthropometric or tailoring measurements from 3D human body scans is important for applications such as virtual try-on, custom clothing, and online sizing. Existing commercial solutions identify anatomical landmarks on high-resolution 3D scans and then compute distances or circumferences on the scan. Landmark detection is sensitive to acquisition noise (e.g. holes) and these methods require subjects to adopt a specific pose. In contrast, we propose a solution we call model-based anthropometry. We fit a deformable 3D body model to scan data in one or more poses; this model-based fitting is robust to scan noise. This brings the scan into registration with a database of registered body scans. Then, we extract features from the registered model (rather than from the scan); these include, limb lengths, circumferences, and statistical features of global shape. Finally, we learn a mapping from these features to measurements using regularized linear regression. We perform an extensive evaluation using the CAESAR dataset and demonstrate that the accuracy of our method outperforms state-of-the-art methods.

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Precision of the CAESAR scan-extracted measurements

Cited by 96 publications

References 7 publications

Technical Report on the Modification of 3-Dimensional Non-contact Human Body Laser Scanner for the Measurement of Anthropometric Dimensions: Verification of its Accuracy and Precision

Technical Report on the Modification of 3-Dimensional Non-contact Human Body Laser Scanner for the Measurement of Anthropometric Dimensions: Verification of its Accuracy and Precision

Comparing 3D foot scanning with conventional measurement methods

Model-based anthropometry: Predicting measurements from 3D human scans in multiple poses

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