PS for You: A Contactless, Remote, Cloud-Based Body Measurement Technology Powered by Artificial Intelligence

Donadoni, Francesca; Mechan, Jayne; Johnson, C.T.

doi:10.15221/21.31

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…However, there are some constraints as users must set up certain environmental parameters (including light, background, and the type and contrast of clothes) and must perform the measurement capture at least five times. Francesca et al [19,20] created a cloud API utilizing Amazon Web Services (AWS) that can be easily integrated into other platforms to extract up to 24 body measurements from two images (front and side views). Existing open-source algorithms are utilized.…”

Section: Computerised Recent Methodsmentioning

confidence: 99%

Designing a Contactless, AI System to Measure the Human Body using a Single Camera for the Clothing and Fashion Industry

Montazerian

Leymarie

2023

Preprint

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We present a system that estimates upper human body measurements using a set of computer vision and machine learning techniques. In a nutshell, the main steps involve: (1) using a portable camera (such as from a smartphone); (2) improving the image quality; (3) isolating the human body from the surrounding environment; (4) performing a calibration step; (5) extracting features of the body from the image; (6) indicating markers on the image; (7) producing refined final results. Using a single RGB camera to obtain accurate body dimensions rather than measuring these manually or via more complex multi-camera or more expensive laser-based sensors, has a high application potential for the apparel (fashion) industry. We also present in this paper, ellipse-like approximations with the aim of minimizing the difference between the results of direct (hand) and software measurements. The human body circumferences can be well approximately represented by varying elliptic cross sections, and these can be adapted to each individual. We show that better results than the current state-of-the-art are obtained based on a simple criterion. In our study, we selected a set of two equations, out of many other possible choices, to best estimate upper human body horizontal cross sections. We experimented with the system on a diverse sample of participants. The results for the upper human body measurements in comparison to the traditional manual method of tape measurements, when used as a reference, show ±1cm average differences, which is sufficient for a number of applications.

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Section: Computerised Recent Methodsmentioning

confidence: 99%

Designing a Contactless, AI System to Measure the Human Body using a Single Camera for the Clothing and Fashion Industry

Montazerian

Leymarie

2023

Preprint

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“…Danadoni et al [7,8] created a cloud API utilising Amazon Web Services (AWS) that can be easily integrated into other platforms to extract up to 24 body measurements from two images (front and side views). Existing open-source algorithms are utilised.…”

Section: Deep Learning Methodsmentioning

confidence: 99%

Simple Hybrid Camera-Based System Using Two Views for Three-Dimensional Body Measurements

Montazerian,

Leymarie

2023

Symmetry

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Using a single RGB camera to obtain accurate body dimensions, rather than measuring these manually or via more complex multicamera systems or more expensive 3D scanners, has a high application potential for the apparel industry. We present a system that estimates upper human body measurements using a hybrid set of techniques from both classic computer vision and recent machine learning. The main steps involve (1) using a camera to obtain two views (frontal and side); (2) isolating in the image pair a set of main body parts; (3) improving the image quality; (4) extracting body contours and features from the images of body parts; (5) indicating markers on these images; (6) performing a calibration step; and (7) producing refined final 3D measurements. We favour a unique geometric shape, that of an ellipse, to approximate human body main horizontal cross-sections. We focus on the more challenging parts of the body, i.e., the upper body from the head to the hips, which, we show, can be well represented by varying an ellipse’s eccentricity for each individual. Then, evaluating each fitted ellipse’s perimeter allows us to obtain better results than the current state-of-the-art methods for use in the fashion and online retail industry. In our study, we selected a set of two equations, out of many other possible choices, to best estimate upper human body section circumferences. We experimented with the system on a diverse sample of 78 female participants. The results for the upper human body measurements in comparison to the traditional manual method of tape measurements, when used as a reference, show ±1 cm average differences, which are sufficient for many applications, including online retail.

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“…Francesca et al [10] developed a cloud API, using Amazon Web Services (AWS), that can be easily integrated into other platform to extract up to 24 body measurements by using two photos (front/side view). They use existing open-source algorithm that could be adapted and expanded in online shopping experience including: Tensorflow and PyTorch in collaboration with post-processing function OpenCV and Python.…”

Section: Related Workmentioning

confidence: 99%

Measuring the Human Body from a Single Camera, with Applications to the Clothing and Fashion Industry

MONTAZERIAN¹,

LEYMARIE²

2022

Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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Using a single RGB camera to obtain accurate body dimensions rather than measuring these manually or via sophisticated multi-camera or laser-based sensors, has a high application potential for the apparel (fashion) industry. We present a system that estimates upper human body measurements using a set of computer vision and machine learning technologies. In a nutshell, the main steps involve: (1) using a portable camera (such as with a smartphone); (2) improving the image quality; (3) performing a calibration step; (4) extracting features of the body from the image; (5) indicating markers on the image semi-automatically; (6) producing refined final results.We experimented with the system on a sample of participants. The results for the upper human body measurements in comparison to the main manual method of tape measurements show ±1cm average differences, which is a good enough result for a number of applications.

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PS for You: A Contactless, Remote, Cloud-Based Body Measurement Technology Powered by Artificial Intelligence

Cited by 5 publications

References 15 publications

Designing a Contactless, AI System to Measure the Human Body using a Single Camera for the Clothing and Fashion Industry

Designing a Contactless, AI System to Measure the Human Body using a Single Camera for the Clothing and Fashion Industry

Simple Hybrid Camera-Based System Using Two Views for Three-Dimensional Body Measurements

Measuring the Human Body from a Single Camera, with Applications to the Clothing and Fashion Industry

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