Detailed statistical models of body size and shape are valuable for wide range of statistical analyses. Most body shape models represent a single posture, usually standing. Previous efforts to model both posture and body shape have parameterized posture using joint angles. This paper presents a statistical model of body shape in supported seated postures using a posture measured derived from surface landmarks rather than internal joint locations and angles. This method is not limited by a particular kinematic linkage deformation and so is particularly well suited to model the effects on body shape of posture changes in complex linkages such as the spine or shoulder. © 2013 Springer-Verlag.
CITATION STYLE
Reed, M. P. (2013). Modeling body shape from surface landmark configurations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8026 LNCS, pp. 376–383). https://doi.org/10.1007/978-3-642-39182-8_44
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