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The process for generating Skin Model Shapes is split into a prediction and an observation stage with respect to the available information and knowledge about expected geometric deviations.
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The model shapes are given for some of the square plates with three kinds of thickness variations.
In this regard, a Skin Model Shape is a specific outcome of the conceptual Skin Model and comprises deviations from manufacturing and assembly.
(Furthermore, ignoring the treatment effects in terms of shape, i.e. assuming a constant HR, implies that the uncertainty in model shape is not captured with the meta-analysis models).
Using a detection difficulty metric, we found that model shape was consistently a significant predictor of model detection difficulty.
In different computer models, shape is represented using different methodologies, to varying degrees of precision.
As more data come in from the camera, the model's shape is updated.
A model's shape is defined by the upper faces of the convex hull of these heights.
For this purpose, Skin Model Shapes, which are particular Skin Model representatives from a simulation perspective, are generated.
In applications that involve interactive curve and surface modeling, the intuitive manipulation of shapes is crucial.
Three specific reference points - the estimated pelvic ring center, and two points on the identified femur model shapes - are then used to initialize ASM for pelvic ring detection.
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