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the same model and structure from the rest of the models, the individual part would be superimposed over the rest of the parts in the pose. In the same way, all the hands in an individual model would be superimposed over the other parts. Since each of the hands is separate from each of the other parts, each part would have to be independently modeled.

When there are a large number of objects to be superimposed over one another, the process of manually selecting the appropriate points can be laborious and time-consuming. Additionally, in some parts of the body there may be no easily identifiable points on the surface that can be superimposed to the rest of the object. For example, on the surfaces of the back, it may be hard to find points that will correspond to the back of the neck or the shoulder. In these cases, a solution to the problem might be to add a dense point cloud to the surface of each of the objects. This dense cloud would include all the points that should be superimposed onto the other objects. This solution is similar to that used by the SfM algorithm \[[@pone.0151166.ref036]\].

Overall, the superimposition is a trivial process. Each input image has an associated model and model poses (i.e. orientations and locations in space). If there is already an alignment of the images, the mapping of that alignment onto the model and model poses can easily be implemented with a variety of methods. For example, if the images are assigned pose labels on the model, the pose labels of one image can be compared to the pose labels of the other images. Additionally, the images and model are aligned using the ASM algorithm, which is used to align the image points and the model points in the same way it is used to align the images in the first place.

Software Applications {#sec018}
=====================

In addition to a mathematical model for collinear point selection, the Determinant Filter model is presented with a software application. The application includes point cloud generation, image registration, pose selection, and collinear point selection. Additionally, a software application that demonstrates the Determinant Filter model on a biological example is included.

The application is freely available to download at . The source code for the

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