Commit 4ba74b8d authored by Cory Quammen's avatar Cory Quammen

Correct section describing result of Transform filter on image data

The transformed data is stored in a structured grid, not an
unstructured grid. The main point of the paragraph remains, this just
corrects the specifics.
parent 35fcb2b1
......@@ -670,14 +670,15 @@ based on the values specified.
As this is a geometric manipulation filter, this filter does not affect
connectivity in the input dataset. While it tries to preserve the input dataset
type, whenever possible, there are cases when the transformed dataset can no
longer be represented in the same data type as the input. For example, with image data
(Section~\ref{sec:VTKDataModel:UniformRectilinearGrid}) and rectilinear grids
(Section~\ref{sec:VTKDataModel:RectilinearGrid}), due to the ability of rotating
the dataset, the output dataset can be non-axis aligned and, hence, cannot be
represented as either data types. In such cases, the dataset is converted to
an unstructured grid (Section~\ref{sec:VTKDataModel:UnstructuredGrid}). Since
unstructured grids are not as compact as data structured as the other two, this
implies a considerable increase in the memory footprint.
longer be represented in the same data type as the input. For example, with
image data (Section~\ref{sec:VTKDataModel:UniformRectilinearGrid}) and
rectilinear grids (Section~\ref{sec:VTKDataModel:RectilinearGrid}) that are
transformed by rotation, the output dataset can be non-axis aligned and, hence,
cannot be represented as either data types. In such cases, the dataset is
converted to a structured, or curvilinear, grid
(Section~\ref{sec:VTKDataModel:CurvilinearGrid}). Since curvilinear grids are
not as compact as the other two, the need to store the results in a more general
data type implies a considerable increase in the memory footprint.
\subsection{Transform in \texttt{paraview}}
......
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