Identifying Boundary Anomalies to Facilitate Correct Parallel Image Composition
نویسندگان
چکیده
Parallel image composition presents an attractive approach to run-time visualization of structured grid data. However, certain configurations of grid boundaries prevent composition from being performed correctly. In particular, when the boundary between two partitions contains concave sections, the partitions may no longer be depth sorted correctly, a requirement for some visualization techniques such as raycasting. If the data may be repartitioned such that it can be depth sorted correctly, then an image composition approach is a viable option. To facilitate such an operation, we present an algorithm to analyze the geometric structure of a grid boundary and extract knowledge about how the boundary impacts depth sorting and therefore image composition.
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