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Geodesic-Based Bayesian Coherent Point Drift
Coherent point drift is a well-known algorithm for non-rigid registration, i. e., a procedure for deforming a shape to match another shape.
Dependent landmark drift: robust point set registration with a Gaussian mixture model and a statistical shape model
In this paper, we propose a novel point set registration method using the Gaussian mixture model with prior shape information encoded as a statistical shape model.
SPF-CellTracker: Tracking multiple cells with strongly-correlated moves using a spatial particle filter
Data types to which the method is applicable are characterized as follows: (i) cells are imaged as globular-like objects, (ii) it is difficult to distinguish cells based only on shape and size, (iii) the number of imaged cells ranges in several hundreds, (iv) moves of nearly-located cells are strongly correlated and (v) cells do not divide.
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