387 research outputs found
Posture normalisation of 3D body scans
No full textFor product developers that design near-body products, virtual mannequins that represent realistic body shapes, are valuable tools. With statistical shape modelling, the variability of such body shapes can be described. Shape variation captured by statistical shape models (SSMs) is often polluted by posture variations, leading to less compact models. In this paper, we propose a framework that has low computational complexity to build a posture invariant SSM, by capturing and correcting the posture of an instance. The posture-normalised SSM is shown to be substantially more compact than the non-posture-normalised SSM. Practitioner summary: Statistical shape modelling is a technique to map out the variability of (body) shapes. This variability is often polluted by variations in posture. In this paper, we propose a framework to build a posture invariant statistical shape model. Abbreviations: SSM: statistical shape model; 1D: one-dimensional; 3D: three-dimensional; DHM: digital human model; LBS: linear blend skinning; PCA: princial component analysis; PC: principal component; TTR: thumb tip reach.Accepted author manuscriptApplied Ergonomics and Desig
Predicting User’s Measurements without Manual Measuring: A Case on Sports Garment Applications
Get PDFAs sports garments are stretchable, different sizing tables are used than for retail clothing. However, customers measuring themselves leads to errors and unsatisfaction, since these customized branded garments cannot be returned. Using fitting sets avoids this, but this is not always feasible, especially in an online retail environment. Therefore, this research aims to use descriptive measures—parameters that do not require manual measuring because they are readily known by heart by almost any customer—to predict users’ body measurements, which can, thus, be used by customers to determine the size of their sports garment from a sizing chart. To validate if these input measures are sufficient to predict the correct size, three prediction methods are used and compared with baseline manual measurements. The methods are: (i) clothing size predictions from shape models with descriptive measures as inputs, (ii) clothing size predictions from a regression analysis, and (iii) clothing size predictions from a shape model based on extensive 3D scanned measurements as input. The conclusion is that a regression algorithm with, as input variables, the straightforward demographics of age, gender, stature, and weight is more accurate than the algorithm with the same inputs but with a shape model behind it. Moreover, chest and hip circumferences have an intraclass correlation coefficient rating above 0.9 and are, thus, suited for online retail of stretchable garments, such as cycling clothes. As validated by end-users, the regression predictions are shown to agree with preferred garment sizes of the participants, within the natural variation of personal preferences
Apollo, Apollo!: An Ambiguous Call for Sophistication in Antwerp, 1561
No full textThis article explores the seemingly mixed messages in the Antwerp playwright Willem van Haecht’s Oordeel van Tmolus (Tmolus’ Verdict), based on Ovid’s tale of the metamorphosis of king Midas’ ears. Performed on the first evening of the 1561 Rederijkers’ theater competition in Antwerp, its first act reflects a call for “apollonian” aesthetics and a rejection of the genre of farce. The second act, however, seems to undermine this artistic stance. As this article clarifies, Van Haecht’s dramatization of the aftermath of the metamorphosis, in which a barber discovers Midas’ ears, testifies to the playwright's skillful mastery of “dionysian” farce techniques
Anke van Herk, Fabels van liefde.: Het mythologisch-amoureuze toneel van de rederijkers (1475-1621)
Get PDFFragmentarische bundel over middeleeuws toneel: [book review of H. van Dijk, B. Ramakers e.a., Spel en spektakel]
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