Three-dimensional surface anthropometry: Applications to the human body

Jones, Peter R.; Rioux, Marc

doi:10.1016/s0143-8166(97)00006-7

Cited by 115 publications

(77 citation statements)

References 47 publications

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“…36 However, the potential contribution of whole-body photonic scanning to medical research and clinical practice remains relatively unappreciated. 37,38 Figure 1 illustrates examples of currently available hardware. Whole-body photonic scanners are similar to large photo booths, comprising an array of cameras or light sensors surrounding a central space where the subject stands for a few seconds.…”

Section: Photonic Scanningmentioning

confidence: 99%

Whole-body three-dimensional photonic scanning: a new technique for obesity research and clinical practice

2007

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Information on body shape has long been used in categorizing and monitoring obesity. Alongside abdominal circumferences, recent studies further emphasize the value of indices such as sagittal diameter adjusted for thigh girth in categorizing cardiovascular risk. Whole-body three-dimensional photonic scanning has rapidly emerged as a new technology for digital anthropometric measurement. Photonic scanners capture sophisticated raw data on body surface topography in a few seconds, from which extensive body shape information can be extracted using computer algorithms. Photonic scanning now has the potential to play a key role in (1) categorizing obesity (including childhood screening), (2) ranking abdominal size and shape in large-scale epidemiological studies, (3) monitoring individual patients to evaluate treatment efficacy and (4) estimating surface area for drug dosage calculations. New statistical modeling techniques offer the opportunity to develop novel parameters of body shape for linking with biological health outcomes. The low cost, accuracy, ease of use and high acceptability of the technique make it highly suitable for both research and clinical applications.

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Section: Photonic Scanningmentioning

confidence: 99%

Whole-body three-dimensional photonic scanning: a new technique for obesity research and clinical practice

2007

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“…Thus the geodesic distance metric underpins a stable Reeb graph with respect to these aspects. The function defined as (1) where returns the geodesic distance from a point to a source point , is a reasonable candidate for a Morse function. However the location of the source point might affect, to a certain extent, the structure of the Reeb graph as will be shown later.…”

Section: A the Morse Functionmentioning

confidence: 99%

“…This advance facilitates the exploitation of the HB form in various areas such as anthropometrical research [1]- [3], clothing design [4]- [6], and virtual human animation [7], [8]. Although the raw data generated by the HB scanner requires substantial main memory and storage resources, it contains little semantic information.…”

Section: Introductionmentioning

confidence: 99%

A functional-based segmentation of human body scans in arbitrary postures

Werghi¹,

Xiao

Siebert

2006

IEEE Trans. Syst., Man, Cybern. B

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Abstract-This paper presents a general framework that aims to address the task of segmenting three-dimensional (3-D) scan data representing the human form into subsets which correspond to functional human body parts. Such a task is challenging due to the articulated and deformable nature of the human body. A salient feature of this framework is that it is able to cope with various body postures and is in addition robust to noise, holes, irregular sampling and rigid transformations. Although whole human body scanners are now capable of routinely capturing the shape of the whole body in machine readable format, they have not yet realized their potential to provide automatic extraction of key body measurements. Automated production of anthropometric databases is a prerequisite to satisfying the needs of certain industrial sectors (e.g., the clothing industry). This implies that in order to extract specific measurements of interest, whole body 3-D scan data must be segmented by machine into subsets corresponding to functional human body parts. However, previously reported attempts at automating the segmentation process suffer from various limitations, such as being restricted to a standard specific posture and being vulnerable to scan data artifacts. Our human body segmentation algorithm advances the state of the art to overcome the above limitations and we present experimental results obtained using both real and synthetic data that confirm the validity, effectiveness, and robustness of our approach.Index Terms-Human body shape analysis, Reeb graph, scattered 3-D range data segmentation, 3-D surface topology, 3-D whole-body scanners.

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“…As a result, the final output of the scanners of each brand is to some extent different from the others. [23][24][25][26][27][28][29][30] Although Iran has been researching industrial scanners for some time, 31 no study on human body scanners and their application in engineering anthropometry has been conducted. Therefore, the aim of this study was to assess the validity and reliability of human body scanners.…”

mentioning

confidence: 99%