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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).
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Using a detection difficulty metric, we found that model shape was consistently a significant predictor of model detection difficulty.
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.
In different computer models, shape is represented using different methodologies, to varying degrees of precision.
The model shapes are given for some of the square plates with three kinds of thickness variations.
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.
Modelling leaf shape is a helpful tool for designing optimal plant shape and visualizing plant growth.
One straightforward example are combined local models [35], where the shape is modeled globally, as for AAMs, but the texture is modeled locally around each landmark.
Figure 8 shows the distribution of Z-scores in the model 2, whose shape is similar to that of the normal distribution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com