RESUMEN
Measuring human body dimensions is critical for many engineering and product design domains. Nonetheless, acquiring body dimension data for populations using typical anthropometric methods poses challenges due to the time-consuming nature of manual methods. The measurement process for three-dimensional (3D) whole-body scanning can be much faster, but 3D scanning typically requires subjects to change into tight-fitting clothing, which increases time and cost and introduces privacy concerns. To address these and other issues in current anthropometry techniques, a measurement system was developed based on portable, low-cost depth cameras. Point-cloud data from the sensors are fit using a model-based method, Inscribed Fitting, which finds the most likely body shape in the statistical body shape space and providing accurate estimates of body characteristics. To evaluate the system, 144 young adults were measured manually and with two levels of military ensembles using the system. The results showed that the prediction accuracy for the clothed scans remained at a similar level to the accuracy for the minimally clad scans. This approach will enable rapid measurement of clothed populations with reduced time compared to manual and typical scan-based methods.
Asunto(s)
Imagenología Tridimensional , Personal Militar , Adulto Joven , Humanos , Imagenología Tridimensional/métodos , Antropometría/métodos , Cuerpo Humano , VestuarioRESUMEN
This paper presents a shape classification scheme for the female torso, based on anthropometric measurements and 3D body scans from a large scale anthropometric survey. The ability to classify the female body shape is highly desired by the clothing industry and apparel researchers for improving pattern design and fit. In order to objectively classify female torso shapes, we employed principal component analysis on torso related anthropometric measurements and three-dimensional (3D) torso surface data to identify the most dominant measurements. The principal component analysis of the anthropometric measurements show that Waist Circumference is the most dominant variable to define overall female torso size, and that Chest-Waist Drop and Waist-Buttock Drop jointly define the local shape of the torso. Using these findings, a torso shape classification scheme was developed, where nine shape categories were defined from Chest-Waist Drop and Waist-Buttock Drop while torso sizes were divided by Waist Circumference. The distribution of nine shape categories is dependent on the value of Waist Circumference. Mean shape of each shape category was then generated from 3D scans.
Asunto(s)
Abdomen , Torso , Humanos , Femenino , Antropometría/métodos , Análisis de Componente Principal , Índice de Masa CorporalRESUMEN
As early as the nineteenth century, measurements of the face and body were used for forensic identification. It was believed that no two individuals had the exact same measurements. However, this was overtaken by fingerprint analysis because it was considered more reliable in court proceedings as the probabilities of finding matching individuals could be calculated. With the standardisation of photographs, identification primarily occurs from the face. With the ability to take measurements from photographs, why not use the body? The Army Anthropometry Survey (ANSUR) database contains anthropometric measurements of 3982 individuals. Eight facial and eight body measurements were compared to investigate whether or not there is enough information on the body to use for identification. Measurements were compared by adding one measurement to the other(s) in a stepwise approach until there were no duplicate cases where two or more individuals share the same combination of measurements. Results consistently show that less body measurements are needed to find no duplicates when compared to the face. The larger the range of each of the measurements, the less chance there is of finding a duplicate. With the combination of eight body measurements, it is possible to achieve a probability of finding a duplicate to the order of 10(-20) or 1 in a quintillion. These results are comparable with fingerprint analysis. The body is more variable than the face and should be used in identification. An advantage to using the body is that larger dimensions are easier to locate on images and not affected by facial expression.